AMD ONNX DIRECTML RTX3050 Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
11766
Single Precision Score
21608
Half Precision Score
7879
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 04:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4924
915.7 IPS |
|
|
Image Classification (HP)
|
99% |
9363
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
3913
729.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7656
124.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12836
208.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6115
99.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
49560
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160905
187.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
40798
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5845
463.6 IPS |
|
|
Object Detection (HP)
|
100% |
11690
927.3 IPS |
|
|
Object Detection (Q)
|
84% |
4439
358.0 IPS |
|
|
Face Detection (SP)
|
100% |
12816
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
22448
266.7 IPS |
|
|
Face Detection (Q)
|
97% |
10106
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26676
205.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54254
419.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
18386
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
84711
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
215403
276.9 IPS |
|
|
Style Transfer (Q)
|
98% |
67669
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17323
639.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30360
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9835
364.2 IPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1351
25.3 IPS |
