ASUS System Product Name
Geekbench AI Score
6952
Single Precision Score
1579
Half Precision Score
8386
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | October 15 2024 01:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
7055
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
4546
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31573
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18782
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
87019
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
88% |
3646
292.3 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (Q)
|
97% |
8006
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14589
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
19354
155.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54237
69.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40295
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59286
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5543
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7218
267.3 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
607
812.7 IPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
4204
93.8 IPS |
