Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
20888
Single Precision Score
37328
Half Precision Score
16641
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 12:41 PM |
| Views | 2 |
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 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8948
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15496
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8427
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12284
199.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16216
262.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11539
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
122155
142.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
380057
443.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
112436
131.7 IPS |
|
|
Object Detection (SP)
|
100% |
11075
878.4 IPS |
|
|
Object Detection (HP)
|
100% |
18759
1.49 KIPS |
|
|
Object Detection (Q)
|
83% |
9747
787.5 IPS |
|
|
Face Detection (SP)
|
100% |
26517
315.1 IPS |
|
|
Face Detection (HP)
|
100% |
41513
493.3 IPS |
|
|
Face Detection (Q)
|
97% |
23399
279.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54166
417.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114951
885.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
44036
351.5 IPS |
|
|
Style Transfer (SP)
|
100% |
170255
218.9 IPS |
|
|
Style Transfer (HP)
|
100% |
581846
748.0 IPS |
|
|
Style Transfer (Q)
|
98% |
146326
188.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33361
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62424
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25757
953.7 IPS |
|
|
Text Classification (SP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4312
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2267
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1736
32.6 IPS |
