Generic
Geekbench AI Score
1785
Single Precision Score
854
Half Precision Score
2013
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 11:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370M Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1570
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (Q)
|
87% |
6461
7.63 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
1157
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
96% |
2353
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.13 IPS |
|
|
Depth Estimation (Q)
|
77% |
3324
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5387
6.93 IPS |
|
|
Style Transfer (Q)
|
87% |
8306
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1768
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.0 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1205
26.9 IPS |
