ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench ML Score
17554
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 07:01 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8840
1.65 KIPS |
|
|
Image Classification (F16)
|
100% |
8814
1.65 KIPS |
|
|
Image Classification (I8)
|
100% |
7779
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15189
253.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
15113
252.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12681
211.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
85146
103.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
85649
103.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
84083
101.8 IPS |
|
|
Object Detection (F32)
|
100% |
4260
318.1 IPS |
|
|
Object Detection (F16)
|
100% |
4329
323.2 IPS |
|
|
Object Detection (I8)
|
62% |
3829
285.9 IPS |
|
|
Face Detection (F32)
|
100% |
21647
257.4 IPS |
|
|
Face Detection (F16)
|
100% |
21172
251.7 IPS |
|
|
Face Detection (I8)
|
89% |
16780
199.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
38919
301.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
43233
335.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
38007
294.7 IPS |
|
|
Style Transfer (F32)
|
100% |
175365
230.7 IPS |
|
|
Style Transfer (F16)
|
100% |
164723
216.7 IPS |
|
|
Style Transfer (I8)
|
98% |
150330
197.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38195
1.36 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31143
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25310
903.9 IPS |
|
|
Text Classification (F32)
|
100% |
3861
5.55 KIPS |
|
|
Text Classification (F16)
|
100% |
3862
5.55 KIPS |
|
|
Text Classification (I8)
|
98% |
2638
3.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
5793
106.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5697
104.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3365
61.9 IPS |
