ASUS System Product Name
Geekbench AI Score
5117
Single Precision Score
2463
Half Precision Score
8037
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | January 17 2025 06:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2397
445.7 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
99% |
5760
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4514
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13971
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11540
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59342
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
3006
238.5 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (Q)
|
88% |
2935
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
7284
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12008
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3710
28.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13657
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31073
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25518
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45751
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3542
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6155
227.9 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2389
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3712
82.8 IPS |
