Generic
Geekbench AI Score
1961
Single Precision Score
1015
Half Precision Score
2749
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 10:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H310CM-HDV/M.2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1612
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
365
68.0 IPS |
|
|
Image Classification (Q)
|
96% |
2780
519.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
7448
8.81 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1763
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4195
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6109
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8502
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7781
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
7258
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3095
114.7 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
740
988.2 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1330
25.7 IPS |
