ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
5248
Single Precision Score
2161
Half Precision Score
8814
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 03:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Silent |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3987
741.4 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
99% |
8808
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13143
213.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15571
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9836
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
50035
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
4279
339.4 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (Q)
|
86% |
10404
836.2 IPS |
|
|
Face Detection (SP)
|
100% |
8825
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
12402
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13353
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3206
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10854
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27768
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21841
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53645
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1520
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2997
60.2 IPS |
