Generic
Geekbench AI Score
5412
Single Precision Score
5356
Half Precision Score
4063
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Cifra45 |
| Upload Date | May 28 2025 06:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P67 Extreme6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (Q)
|
100% |
1097
204.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2727
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37030
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19194
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29613
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.8 IPS |
|
|
Object Detection (Q)
|
83% |
1519
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
3071
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11843
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10680
82.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
9428
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57016
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35396
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44958
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11430
422.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7911
292.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7234
267.9 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2169
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1129
21.2 IPS |
