Gigabyte Technology Co., Ltd. B650M GAMING X AX
Geekbench AI Score
32208
Single Precision Score
47404
Half Precision Score
24852
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| 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% |
13112
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
18331
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11416
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20293
329.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26644
431.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19290
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
198222
231.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
478459
558.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
177675
208.2 IPS |
|
|
Object Detection (SP)
|
100% |
15881
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
23103
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
13540
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44439
528.0 IPS |
|
|
Face Detection (HP)
|
100% |
57539
683.7 IPS |
|
|
Face Detection (Q)
|
97% |
38016
453.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
82480
635.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
134297
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62958
503.3 IPS |
|
|
Style Transfer (SP)
|
100% |
359757
462.5 IPS |
|
|
Style Transfer (HP)
|
100% |
827367
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
313437
404.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53073
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65850
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38114
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2235
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5390
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2655
49.8 IPS |
