Emil pc System manufacturer System Product Name
Geekbench AI Score
1406
Single Precision Score
748
Half Precision Score
1748
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | EmilVitus |
| Upload Date | December 06 2024 02:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. H110M-A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (Q)
|
96% |
1416
264.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
881
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
3930
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1099
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (Q)
|
96% |
3259
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2816
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4004
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5383
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4187
5.38 IPS |
|
|
Style Transfer (Q)
|
87% |
6797
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.6 IPS |
|
|
Text Classification (Q)
|
97% |
328
438.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1225
23.7 IPS |
