System manufacturer System Product Name
Geekbench AI Score
1594
Single Precision Score
494
Half Precision Score
1753
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 17 2024 08:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7600 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B250M-C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
97% |
1384
258.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1142
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2396
2.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
5160
6.09 IPS |
|
|
Object Detection (SP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
86% |
1008
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
199
2.37 IPS |
|
|
Face Detection (Q)
|
96% |
2165
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3114
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
2888
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6858
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5402
6.94 IPS |
|
|
Style Transfer (Q)
|
87% |
7859
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1769
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.6 IPS |
|
|
Text Classification (Q)
|
97% |
366
489.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
60% |
1048
23.4 IPS |
