ASUS System Product Name
Geekbench AI Score
6531
Single Precision Score
1567
Half Precision Score
7870
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | September 16 2024 12:25 PM |
| Views | 4 |
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% |
2668
496.1 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
99% |
6317
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
4231
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31594
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
88312
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
88% |
3412
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (Q)
|
97% |
7362
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13945
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1671
12.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
17177
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48757
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40077
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
57396
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4308
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6470
239.6 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
605
809.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3985
88.9 IPS |
