Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
17223
Single Precision Score
28694
Half Precision Score
11608
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 22 2025 08:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| 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% |
7122
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
11453
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
5311
990.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12358
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17897
290.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9694
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84525
98.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
246974
288.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
69601
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
8748
693.9 IPS |
|
|
Object Detection (HP)
|
100% |
14188
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
6688
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
21073
250.4 IPS |
|
|
Face Detection (HP)
|
100% |
34245
406.9 IPS |
|
|
Face Detection (Q)
|
97% |
16252
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42476
327.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75764
583.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28373
227.3 IPS |
|
|
Style Transfer (SP)
|
100% |
154510
198.6 IPS |
|
|
Style Transfer (HP)
|
100% |
352928
453.7 IPS |
|
|
Style Transfer (Q)
|
98% |
122818
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27369
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41558
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16120
596.9 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3199
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4328
74.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1599
30.0 IPS |
