ASUS System Product Name
Geekbench AI Score
6415
Single Precision Score
1470
Half Precision Score
8828
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Bitsum Highest Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2713
504.5 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
99% |
6627
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
4829
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28022
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16879
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75695
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
3342
265.1 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
88% |
3431
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
97% |
7299
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13085
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1573
12.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
15937
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48359
62.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37459
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
47197
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3782
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
60% |
4739
105.7 IPS |
