iMac20,1
Geekbench AI Score
938
Single Precision Score
113
Half Precision Score
91
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | December 30 2025 06:28 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | iMac20,1 |
| Model ID | iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3081
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
731
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
100% |
336
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1465
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1116
8.60 IPS |
|
|
Depth Estimation (Q)
|
85% |
698
5.46 IPS |
|
|
Style Transfer (SP)
|
100% |
4001
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2913
3.74 IPS |
|
|
Style Transfer (Q)
|
96% |
2253
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (HP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (Q)
|
93% |
434
582.6 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
634
11.0 IPS |
