iMac (27-inch Retina Mid 2020)
Geekbench AI Score
931
Single Precision Score
687
Half Precision Score
559
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | February 21 2025 03:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
99% |
359
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
100% |
394
6.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
731
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
92% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1426
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.36 IPS |
|
|
Depth Estimation (Q)
|
97% |
1199
9.27 IPS |
|
|
Style Transfer (SP)
|
100% |
3613
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2942
3.78 IPS |
|
|
Style Transfer (Q)
|
100% |
2758
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.5 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (Q)
|
93% |
466
624.8 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
601
10.4 IPS |
