Generic
Geekbench AI Score
3771
Single Precision Score
3772
Half Precision Score
5429
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 27 2024 10:05 PM |
| Views | 17 |
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% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
100% |
3397
631.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
8209
9.63 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (Q)
|
87% |
3443
276.2 IPS |
|
|
Face Detection (SP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
5250
62.4 IPS |
|
|
Face Detection (Q)
|
97% |
8996
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6063
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6068
46.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9233
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13268
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13282
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23206
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4900
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1780
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4028
69.4 IPS |
