ASUS System Product Name
Geekbench AI Score
40836
Single Precision Score
56665
Half Precision Score
30578
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 08:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14699
2.73 KIPS |
|
|
Image Classification (HP)
|
99% |
19657
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
12503
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27036
438.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
35223
571.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25028
407.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
329274
384.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
558352
651.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
285625
334.7 IPS |
|
|
Object Detection (SP)
|
100% |
19992
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
26350
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
16841
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
57601
684.4 IPS |
|
|
Face Detection (HP)
|
100% |
74146
881.0 IPS |
|
|
Face Detection (Q)
|
97% |
48332
576.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
99799
768.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166964
1.29 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73113
584.8 IPS |
|
|
Style Transfer (SP)
|
100% |
583750
750.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1134890
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
493621
636.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63433
2.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84472
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46317
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2188
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2686
50.4 IPS |
