Generic
Geekbench AI Score
3749
Single Precision Score
3748
Half Precision Score
5418
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 27 2024 10:00 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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (Q)
|
100% |
3385
629.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4554
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4547
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
8151
9.56 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (Q)
|
87% |
3438
275.7 IPS |
|
|
Face Detection (SP)
|
100% |
5213
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (Q)
|
97% |
8953
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6035
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6028
46.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9224
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13217
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13229
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23139
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2718
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4881
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1821
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3976
68.5 IPS |
