Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
27784
Single Precision Score
48148
Half Precision Score
21878
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11156
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18724
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10216
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18236
295.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25900
419.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17288
281.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
166698
194.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
481618
562.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
143992
168.7 IPS |
|
|
Object Detection (SP)
|
100% |
14781
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
24118
1.91 KIPS |
|
|
Object Detection (Q)
|
83% |
12467
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39324
467.3 IPS |
|
|
Face Detection (HP)
|
100% |
57972
688.8 IPS |
|
|
Face Detection (Q)
|
97% |
33458
398.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
69831
538.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
136630
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54372
434.0 IPS |
|
|
Style Transfer (SP)
|
100% |
229950
295.6 IPS |
|
|
Style Transfer (HP)
|
100% |
781242
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
198570
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40922
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74221
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33350
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4604
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5553
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5622
96.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2736
51.3 IPS |
