Apple Inc. iMac12,1
Geekbench AI Score
607
Single Precision Score
338
Half Precision Score
515
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 01 2025 06:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2400S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMac12,1 |
| Motherboard | Apple Inc. Mac-942B5BF58194151B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2400S |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (Q)
|
96% |
192
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
204
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
781
0.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
912
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
58% |
333
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
1025
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1317
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1025
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2468
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2031
2.61 IPS |
|
|
Style Transfer (Q)
|
87% |
1991
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.1 IPS |
|
|
Text Classification (Q)
|
97% |
190
255.1 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
68% |
605
11.7 IPS |
