Generic
Geekbench AI Score
1804
Single Precision Score
939
Half Precision Score
2180
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | January 19 2025 04:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z270 Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2525
2.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
5227
6.18 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
58% |
1365
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3871
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3689
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1354
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
4975
39.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6796
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5841
7.51 IPS |
|
|
Style Transfer (Q)
|
87% |
8312
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1764
65.4 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
556
741.5 IPS |
|
|
Text Classification (Q)
|
97% |
395
528.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1277
24.7 IPS |
