Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
22447
Single Precision Score
41082
Half Precision Score
17639
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 12:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
9642
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16989
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8893
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14343
232.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20133
326.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13670
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
122332
142.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
388098
452.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
114379
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
11630
922.5 IPS |
|
|
Object Detection (HP)
|
100% |
20641
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
10101
816.1 IPS |
|
|
Face Detection (SP)
|
100% |
28762
341.8 IPS |
|
|
Face Detection (HP)
|
100% |
45344
538.8 IPS |
|
|
Face Detection (Q)
|
97% |
25116
299.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54836
422.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
116685
899.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44483
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
174128
223.8 IPS |
|
|
Style Transfer (HP)
|
100% |
599246
770.3 IPS |
|
|
Style Transfer (Q)
|
98% |
150053
193.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35038
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67295
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26618
985.6 IPS |
|
|
Text Classification (SP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5016
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4299
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4670
80.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1910
35.8 IPS |
