3060 12GB ONNX System manufacturer System Product Name
Geekbench AI Score
14186
Single Precision Score
24131
Half Precision Score
9779
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jq1138 |
| Upload Date | June 08 2025 11:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450M-PLUS GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
9679
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
4582
854.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9784
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15077
244.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7835
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70018
81.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
185064
215.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
58248
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
7214
572.3 IPS |
|
|
Object Detection (HP)
|
100% |
12987
1.03 KIPS |
|
|
Object Detection (Q)
|
84% |
5583
450.3 IPS |
|
|
Face Detection (SP)
|
100% |
17186
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
27733
329.5 IPS |
|
|
Face Detection (Q)
|
97% |
13637
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33220
255.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66518
513.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23238
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
117746
151.4 IPS |
|
|
Style Transfer (HP)
|
100% |
301220
387.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95168
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21313
787.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34706
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13570
502.5 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2693
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1419
26.6 IPS |
