ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301ZE_GZ301ZE
Geekbench AI Score
1285
Single Precision Score
680
Half Precision Score
2972
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301ZE_GZ301ZE |
| Motherboard | ASUSTeK COMPUTER INC. GZ301ZE |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
584
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
99% |
2496
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
14401
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
3730
299.8 IPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6121
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6907
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
641
4.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
11117
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5541
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
7207
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6846
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1295
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
505
673.9 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.1 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.38 IPS |
|
|
Machine Translation (Q)
|
65% |
1018
20.5 IPS |
