ASUS System Product Name
Geekbench AI Score
40721
Single Precision Score
56364
Half Precision Score
30324
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 01:16 PM |
| Views | 6 |
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% |
14531
2.70 KIPS |
|
|
Image Classification (HP)
|
99% |
19219
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
12360
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27768
450.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
35156
569.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24537
399.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
328946
383.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
554587
647.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
288293
337.8 IPS |
|
|
Object Detection (SP)
|
100% |
19868
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
26205
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
16527
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
57690
685.5 IPS |
|
|
Face Detection (HP)
|
100% |
74971
890.8 IPS |
|
|
Face Detection (Q)
|
97% |
49143
585.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
99884
769.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
165327
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71789
574.2 IPS |
|
|
Style Transfer (SP)
|
100% |
583010
749.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1133947
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
490136
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62789
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84948
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46447
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6043
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2603
48.8 IPS |
