Generic
Geekbench AI Score
3728
Single Precision Score
3729
Half Precision Score
5391
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 27 2024 09:53 PM |
| Views | 24 |
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% |
2332
433.7 IPS |
|
|
Image Classification (Q)
|
100% |
3368
626.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4535
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
8101
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (Q)
|
87% |
3416
274.0 IPS |
|
|
Face Detection (SP)
|
100% |
5185
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
5187
61.6 IPS |
|
|
Face Detection (Q)
|
97% |
8888
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6001
46.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
9176
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13168
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13155
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23030
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4847
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1835
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3946
68.0 IPS |
