cpu1 ai ASUS System Product Name
Geekbench AI Score
4801
Single Precision Score
2281
Half Precision Score
10545
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aug |
| Upload Date | March 18 2026 09:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4295
798.8 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.9 IPS |
|
|
Image Classification (Q)
|
99% |
11022
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10863
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7952
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
31184
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3571
283.3 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
86% |
11196
899.8 IPS |
|
|
Face Detection (SP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
11781
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9336
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3030
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21645
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18324
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14877
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21652
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3048
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5662
209.7 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2238
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5815
116.8 IPS |
