ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
10913
Single Precision Score
10921
Half Precision Score
25941
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | July 19 2025 11:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5203
967.6 IPS |
|
|
Image Classification (HP)
|
100% |
5326
990.5 IPS |
|
|
Image Classification (Q)
|
100% |
14251
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7814
126.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7674
124.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21032
340.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22707
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23184
27.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
80899
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
6454
511.9 IPS |
|
|
Object Detection (HP)
|
100% |
6218
493.2 IPS |
|
|
Object Detection (Q)
|
88% |
15519
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
13587
161.4 IPS |
|
|
Face Detection (HP)
|
100% |
13611
161.7 IPS |
|
|
Face Detection (Q)
|
100% |
39674
471.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18466
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19137
147.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
51282
399.1 IPS |
|
|
Style Transfer (SP)
|
100% |
59752
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56655
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
203957
263.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10588
391.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10595
391.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27656
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4330
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6781
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7011
120.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7381
127.1 IPS |
