ASUS System Product Name
Geekbench AI Score
16279
Single Precision Score
27496
Half Precision Score
12463
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MindLogic |
| Upload Date | October 29 2024 09:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6357
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
11142
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5605
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11269
182.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15006
243.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10305
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84005
98.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
230694
269.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
73104
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
7966
631.8 IPS |
|
|
Object Detection (HP)
|
100% |
13511
1.07 KIPS |
|
|
Object Detection (Q)
|
89% |
6588
527.3 IPS |
|
|
Face Detection (SP)
|
100% |
17338
206.0 IPS |
|
|
Face Detection (HP)
|
100% |
27636
328.4 IPS |
|
|
Face Detection (Q)
|
97% |
14369
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37220
286.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75837
584.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30428
244.4 IPS |
|
|
Style Transfer (SP)
|
100% |
135030
173.6 IPS |
|
|
Style Transfer (HP)
|
100% |
360601
463.6 IPS |
|
|
Style Transfer (Q)
|
98% |
122862
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28866
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46026
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20728
767.5 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1500
33.5 IPS |
