Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
7073
Single Precision Score
2838
Half Precision Score
11297
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5979
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (Q)
|
99% |
12040
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4810
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11980
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
38786
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
5536
439.1 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
86% |
12513
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
10363
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
13387
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14550
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4012
30.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25792
205.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27608
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36132
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6625
245.3 IPS |
|
|
Text Classification (SP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2631
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5543
111.4 IPS |
