System manufacturer System Product Name
Geekbench AI Score
3322
Single Precision Score
3317
Half Precision Score
4692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 12:34 PM |
| Views | 5 |
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 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII GENE |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
100% |
2966
551.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3949
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3951
4.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
7062
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (Q)
|
87% |
3039
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4411
52.4 IPS |
|
|
Face Detection (Q)
|
97% |
7798
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5153
39.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
7884
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11344
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11373
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19938
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4186
155.1 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1308
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3691
63.6 IPS |
