crsr ASUS System Product Name
Geekbench AI Score
3529
Single Precision Score
1428
Half Precision Score
5415
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | expresspcpro |
| Upload Date | January 17 2025 12:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2566
477.1 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
96% |
5314
992.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2799
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5246
6.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
16084
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
58% |
4108
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
5893
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
8946
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7715
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12175
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15535
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13555
17.4 IPS |
|
|
Style Transfer (Q)
|
87% |
19330
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3093
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.8 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2695
52.1 IPS |
