Generic
Geekbench AI Score
5263
Single Precision Score
5199
Half Precision Score
3833
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | October 21 2024 09:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock H310CM-HDV/M.2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1156
215.0 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (Q)
|
100% |
1019
189.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2794
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
35457
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18778
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
28655
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (Q)
|
89% |
1373
109.9 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (Q)
|
97% |
2736
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11313
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10022
77.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
8631
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55834
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34770
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43231
55.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11504
424.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7779
287.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7239
268.1 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (Q)
|
97% |
851
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2210
38.2 IPS |
|
|
Machine Translation (Q)
|
60% |
973
21.7 IPS |
