Generic
Geekbench AI Score
2107
Single Precision Score
1023
Half Precision Score
2200
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 01:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B360M/OEM |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
96% |
1868
348.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1417
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4388
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
7629
9.01 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
1304
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
2649
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4405
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1428
11.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3766
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10094
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
10706
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2110
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.6 IPS |
|
|
Text Classification (Q)
|
97% |
357
477.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
60% |
1258
28.1 IPS |
