Gigabyte Technology Co., Ltd. B650M K
Geekbench AI Score
38765
Single Precision Score
53380
Half Precision Score
31673
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 03:36 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M K |
| Motherboard | Gigabyte Technology Co., Ltd. B650M K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (HP)
|
100% |
19083
3.55 KIPS |
|
|
Image Classification (Q)
|
99% |
15555
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27065
438.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
33726
546.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25562
415.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
213762
249.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
652188
761.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
195481
229.0 IPS |
|
|
Object Detection (SP)
|
100% |
19013
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
22609
1.79 KIPS |
|
|
Object Detection (Q)
|
87% |
16847
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
52257
620.9 IPS |
|
|
Face Detection (HP)
|
100% |
63388
753.2 IPS |
|
|
Face Detection (Q)
|
97% |
46901
559.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89587
690.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
128054
986.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
73554
589.5 IPS |
|
|
Style Transfer (SP)
|
100% |
406057
522.0 IPS |
|
|
Style Transfer (HP)
|
100% |
724004
930.7 IPS |
|
|
Style Transfer (Q)
|
98% |
361278
465.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55463
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94908
3.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45056
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5128
6.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
3437
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7227
124.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7210
124.2 IPS |
|
|
Machine Translation (Q)
|
70% |
4021
75.4 IPS |
