AMD Ryzen 7 9700X (8Core,16Thread) (105WTDP) ASRock B650 Steel Legend WiFi
Geekbench AI Score
7301
Single Precision Score
2927
Half Precision Score
13845
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 05:56 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650 Steel Legend WiFi |
| Motherboard | ASRock B650 Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7035
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
1032
191.9 IPS |
|
|
Image Classification (Q)
|
99% |
12520
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16629
270.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13335
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10179
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
48753
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
6186
490.7 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (Q)
|
86% |
14702
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
11334
134.7 IPS |
|
|
Face Detection (HP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
15111
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15747
121.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3913
30.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28819
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28544
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21923
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38423
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7168
265.4 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2569
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5632
113.2 IPS |
