Gigabyte Technology Co., Ltd. B550M DS3H AC
Geekbench AI Score
19516
Single Precision Score
31031
Half Precision Score
12679
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PsychoRolla |
| Upload Date | March 07 2025 11:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H AC |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H AC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7870
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
11881
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
5544
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12941
209.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18347
297.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10003
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
112601
131.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
316351
369.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
91219
106.9 IPS |
|
|
Object Detection (SP)
|
100% |
10329
819.3 IPS |
|
|
Object Detection (HP)
|
100% |
15835
1.26 KIPS |
|
|
Object Detection (Q)
|
85% |
7477
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
24670
293.1 IPS |
|
|
Face Detection (HP)
|
100% |
38727
460.2 IPS |
|
|
Face Detection (Q)
|
97% |
18112
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
50067
385.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89366
688.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31598
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
189681
243.8 IPS |
|
|
Style Transfer (HP)
|
100% |
459371
590.5 IPS |
|
|
Style Transfer (Q)
|
98% |
144096
185.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31819
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42345
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18140
671.7 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
2986
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1302
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1458
27.4 IPS |
