Gigabyte Technology Co., Ltd. B550M DS3H
Geekbench AI Score
19136
Single Precision Score
30658
Half Precision Score
12432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ohoel |
| Upload Date | January 26 2025 11:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7695
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
11663
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5409
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12173
197.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17733
287.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9629
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
111677
130.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
305615
356.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
88926
104.2 IPS |
|
|
Object Detection (SP)
|
100% |
9903
785.5 IPS |
|
|
Object Detection (HP)
|
100% |
15145
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7113
572.6 IPS |
|
|
Face Detection (SP)
|
100% |
22389
266.0 IPS |
|
|
Face Detection (HP)
|
100% |
34863
414.3 IPS |
|
|
Face Detection (Q)
|
97% |
17037
203.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46095
355.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87448
673.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
30563
244.8 IPS |
|
|
Style Transfer (SP)
|
100% |
186220
239.4 IPS |
|
|
Style Transfer (HP)
|
100% |
457830
588.5 IPS |
|
|
Style Transfer (Q)
|
98% |
142510
183.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32171
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42470
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18016
667.1 IPS |
|
|
Text Classification (SP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1454
27.3 IPS |
