Generic
Geekbench AI Score
3730
Single Precision Score
3734
Half Precision Score
5378
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 26 2024 11:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170M OC Formula |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (Q)
|
100% |
3330
619.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4537
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4546
5.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
8131
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
2245
178.0 IPS |
|
|
Object Detection (Q)
|
87% |
3401
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
5195
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
5188
61.6 IPS |
|
|
Face Detection (Q)
|
97% |
8863
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5981
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6008
46.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
9157
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13162
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13139
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22996
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4849
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1828
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3941
67.9 IPS |
