EVGA Z170 classified 4-way - GTX 1060 EVGA INTERNATIONAL CO.,LTD Default string
Geekbench AI Score
2278
Single Precision Score
2213
Half Precision Score
1950
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | February 10 2025 01:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD Default string |
| Motherboard | EVGA INTERNATIONAL CO.,LTD 151-SS-E179 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
99% |
651
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25685
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16265
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
21877
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
1460
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7772
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7502
58.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6645
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36949
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26714
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31308
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
534
715.2 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (HP)
|
96% |
214
3.70 IPS |
|
|
Machine Translation (Q)
|
70% |
174
3.27 IPS |
