Generic
Geekbench AI Score
2661
Single Precision Score
2667
Half Precision Score
4612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 01:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8600K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1775
330.2 IPS |
|
|
Image Classification (HP)
|
100% |
1765
328.2 IPS |
|
|
Image Classification (Q)
|
100% |
3145
584.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4259
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
8733
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (Q)
|
87% |
3208
257.3 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
7536
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4687
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4707
36.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8826
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11655
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11869
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23410
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4807
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1250
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1910
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1841
31.7 IPS |
