ASUS System Product Name
Geekbench AI Score
6542
Single Precision Score
1523
Half Precision Score
7916
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | August 23 2024 03:15 PM |
| Views | 6 |
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% |
2738
509.1 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
99% |
6702
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
4112
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31162
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18563
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
84539
99.1 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
3383
271.2 IPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (Q)
|
97% |
7425
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13726
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
17187
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48939
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40044
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56216
72.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6665
246.8 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
622
832.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
4122
92.0 IPS |
