Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
7128
Single Precision Score
2839
Half Precision Score
11306
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 12:03 PM |
| 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% |
6116
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (Q)
|
99% |
12060
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4810
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12128
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9246
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
39035
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.5 IPS |
|
|
Object Detection (HP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (Q)
|
86% |
12457
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
13266
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14589
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26514
211.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27512
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20002
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35948
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6579
243.6 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2669
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5453
109.6 IPS |
