ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301VIC_GZ301VIC
Geekbench AI Score
15686
Single Precision Score
24005
Half Precision Score
10558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| 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% |
6245
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
8890
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4626
860.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8527
138.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11141
180.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7104
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
95976
112.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
256808
299.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
78567
92.1 IPS |
|
|
Object Detection (SP)
|
100% |
8223
652.3 IPS |
|
|
Object Detection (HP)
|
100% |
11721
929.8 IPS |
|
|
Object Detection (Q)
|
85% |
6044
486.6 IPS |
|
|
Face Detection (SP)
|
100% |
17577
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
24867
295.5 IPS |
|
|
Face Detection (Q)
|
97% |
14028
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41775
321.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74935
577.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28339
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
155532
199.9 IPS |
|
|
Style Transfer (HP)
|
100% |
377947
485.9 IPS |
|
|
Style Transfer (Q)
|
98% |
123920
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27821
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35186
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16274
602.6 IPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3393
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1145
21.5 IPS |
