ASUS System Product Name
Geekbench AI Score
7767
Single Precision Score
2738
Half Precision Score
13116
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | exodus24 |
| Upload Date | December 28 2024 05:45 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 X870E HERO |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5474
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
99% |
12677
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5416
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19041
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13201
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
81345
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
5309
421.1 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.2 IPS |
|
|
Object Detection (Q)
|
86% |
15503
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
10525
125.1 IPS |
|
|
Face Detection (HP)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
15430
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18544
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4128
31.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29175
232.8 IPS |
|
|
Style Transfer (SP)
|
100% |
40501
52.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30311
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
56673
73.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5247
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6677
247.2 IPS |
|
|
Text Classification (SP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1967
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5196
104.4 IPS |
