ASUS System Product Name
Geekbench AI Score
35809
Single Precision Score
48290
Half Precision Score
27062
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DMWbishop |
| Upload Date | August 29 2024 06:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12311
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
16095
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
10555
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22936
371.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28162
456.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21376
347.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
320758
374.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
523151
610.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
277125
324.5 IPS |
|
|
Object Detection (SP)
|
100% |
18064
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
23182
1.84 KIPS |
|
|
Object Detection (Q)
|
89% |
15310
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
49762
591.3 IPS |
|
|
Face Detection (HP)
|
100% |
60445
718.2 IPS |
|
|
Face Detection (Q)
|
97% |
41195
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
91021
701.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150238
1.16 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66073
533.4 IPS |
|
|
Style Transfer (SP)
|
100% |
549360
706.2 IPS |
|
|
Style Transfer (HP)
|
100% |
964656
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
466118
601.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56810
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74960
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42277
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1967
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4766
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2086
46.5 IPS |
