Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
14674
Single Precision Score
25597
Half Precision Score
10027
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 09:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
6521
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11218
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
4914
916.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9215
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13669
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7342
119.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71516
83.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
203389
237.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
59381
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
7724
612.7 IPS |
|
|
Object Detection (HP)
|
100% |
14491
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
5896
475.6 IPS |
|
|
Face Detection (SP)
|
100% |
16922
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
27183
323.0 IPS |
|
|
Face Detection (Q)
|
97% |
13615
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36005
277.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72073
556.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24890
199.2 IPS |
|
|
Style Transfer (SP)
|
100% |
119805
154.0 IPS |
|
|
Style Transfer (HP)
|
100% |
311873
400.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96616
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22342
825.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38587
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14043
520.0 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1365
25.6 IPS |
