ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
23353
Single Precision Score
29256
Half Precision Score
18865
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | April 29 2025 02:59 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 | PD Turbo |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11466
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
12459
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10385
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20291
328.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16305
264.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17220
280.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
104003
121.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
168650
196.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
99940
117.1 IPS |
|
|
Object Detection (SP)
|
100% |
7260
575.8 IPS |
|
|
Object Detection (HP)
|
100% |
12376
981.7 IPS |
|
|
Object Detection (Q)
|
87% |
7017
563.5 IPS |
|
|
Face Detection (SP)
|
100% |
29308
348.2 IPS |
|
|
Face Detection (HP)
|
100% |
43620
518.3 IPS |
|
|
Face Detection (Q)
|
97% |
24585
293.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50666
390.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
62871
484.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
43129
345.9 IPS |
|
|
Style Transfer (SP)
|
100% |
203761
261.9 IPS |
|
|
Style Transfer (HP)
|
100% |
308680
396.8 IPS |
|
|
Style Transfer (Q)
|
98% |
176700
227.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36182
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45213
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27835
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2681
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6632
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7335
126.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3257
61.1 IPS |
