ASUS System Product Name
Geekbench AI Score
7034
Single Precision Score
1572
Half Precision Score
8351
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | September 29 2024 12:48 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% |
2981
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
99% |
7150
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
4396
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31273
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18153
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
88908
104.2 IPS |
|
|
Object Detection (SP)
|
100% |
3798
301.3 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
88% |
3645
292.2 IPS |
|
|
Face Detection (SP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (Q)
|
97% |
7940
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14899
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
18223
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54484
70.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41859
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59292
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5517
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7091
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
626
838.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4499
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
4256
94.9 IPS |
