Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
27604
Single Precision Score
47735
Half Precision Score
21659
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 11:06 AM |
| Views | 2 |
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% |
11048
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18595
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
10104
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17937
290.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25634
415.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17024
276.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
165549
193.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
479841
559.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
140870
165.0 IPS |
|
|
Object Detection (SP)
|
100% |
14870
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
23996
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
12566
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
39166
465.4 IPS |
|
|
Face Detection (HP)
|
100% |
58141
690.8 IPS |
|
|
Face Detection (Q)
|
97% |
33695
401.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69357
534.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
136297
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54939
438.5 IPS |
|
|
Style Transfer (SP)
|
100% |
226651
291.4 IPS |
|
|
Style Transfer (HP)
|
100% |
775889
997.4 IPS |
|
|
Style Transfer (Q)
|
98% |
194363
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40967
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72673
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32843
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2389
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5485
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5569
95.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2644
49.6 IPS |
