ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301VIC_GZ301VIC
Geekbench AI Score
3124
Single Precision Score
1281
Half Precision Score
4428
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301VIC_GZ301VIC |
| Motherboard | ASUSTeK COMPUTER INC. GZ301VIC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
99% |
4442
828.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2062
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3415
3.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
16560
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
3938
316.5 IPS |
|
|
Face Detection (SP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7076
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6639
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1770
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11503
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12555
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8606
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18339
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3361
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.3 IPS |
|
|
Text Classification (Q)
|
97% |
453
607.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2136
42.9 IPS |
