Generic
Geekbench AI Score
1491
Single Precision Score
851
Half Precision Score
1712
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aaewen |
| Upload Date | October 16 2024 12:12 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z270 Taichi |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
96% |
1474
275.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2093
2.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
4577
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.3 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
86% |
968
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
2244
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2786
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1234
9.51 IPS |
|
|
Depth Estimation (Q)
|
77% |
2618
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6262
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4797
6.17 IPS |
|
|
Style Transfer (Q)
|
87% |
7813
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1665
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
519
692.3 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1143
25.5 IPS |
