System manufacturer System Product Name
Geekbench AI Score
12325
Single Precision Score
19727
Half Precision Score
8794
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | dirk_zhenghui |
| Upload Date | October 23 2025 11:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8Z77-M PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5076
944.0 IPS |
|
|
Image Classification (HP)
|
99% |
7990
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
4026
748.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7321
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6135
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
67374
78.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
178527
208.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56644
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
6160
488.6 IPS |
|
|
Object Detection (HP)
|
100% |
9958
789.9 IPS |
|
|
Object Detection (Q)
|
84% |
4943
398.7 IPS |
|
|
Face Detection (SP)
|
100% |
14002
166.4 IPS |
|
|
Face Detection (HP)
|
100% |
20097
238.8 IPS |
|
|
Face Detection (Q)
|
97% |
11503
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33372
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60899
470.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23192
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
112386
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
264827
340.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90494
116.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19364
715.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30665
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12772
472.9 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2648
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1170
22.0 IPS |
