To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
865
Single Precision Score
457
Half Precision Score
705
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 07 2025 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | Foxconn H61MX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
96% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
453
7.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1217
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
1085
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
58% |
408
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (Q)
|
96% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
1245
9.91 IPS |
|
|
Style Transfer (SP)
|
100% |
2919
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2434
3.13 IPS |
|
|
Style Transfer (Q)
|
87% |
2271
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
561
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.7 IPS |
|
|
Text Classification (Q)
|
97% |
231
309.9 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
68% |
710
13.7 IPS |
