Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
22397
Single Precision Score
40889
Half Precision Score
17465
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:49 AM |
| Views | 3 |
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% |
9738
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
17039
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8876
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14290
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20067
325.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13568
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
121801
142.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
382095
445.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
112745
132.1 IPS |
|
|
Object Detection (SP)
|
100% |
11723
929.9 IPS |
|
|
Object Detection (HP)
|
100% |
20820
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10109
816.8 IPS |
|
|
Face Detection (SP)
|
100% |
28410
337.6 IPS |
|
|
Face Detection (HP)
|
100% |
45231
537.4 IPS |
|
|
Face Detection (Q)
|
97% |
24815
295.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54977
423.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113078
871.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
43945
350.8 IPS |
|
|
Style Transfer (SP)
|
100% |
173708
223.3 IPS |
|
|
Style Transfer (HP)
|
100% |
593354
762.8 IPS |
|
|
Style Transfer (Q)
|
98% |
150160
193.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34553
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67770
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26246
971.9 IPS |
|
|
Text Classification (SP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2400
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1866
35.0 IPS |
