Generic
Geekbench AI Score
3353
Single Precision Score
3348
Half Precision Score
4758
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 06:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170 OC Formula |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (Q)
|
100% |
2994
556.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3203
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
7132
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (Q)
|
87% |
3042
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
7841
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5274
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5328
41.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7977
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11802
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11521
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19779
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2399
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4271
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
91% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3410
58.7 IPS |
