ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
5030
Single Precision Score
1894
Half Precision Score
8905
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lordlad |
| Upload Date | March 31 2025 03:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
99% |
8801
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3504
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15547
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
52790
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
10603
852.2 IPS |
|
|
Face Detection (SP)
|
100% |
7962
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
12194
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13200
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2924
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10327
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28213
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22002
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54812
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
647
864.2 IPS |
|
|
Text Classification (Q)
|
97% |
1561
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4153
83.5 IPS |
