iMac (27-inch Retina Mid 2020)
Geekbench AI Score
1139
Single Precision Score
755
Half Precision Score
514
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | slavatsarev |
| Upload Date | January 17 2026 06:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (Q)
|
96% |
204
38.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
306
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
809
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
92% |
241
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
100% |
367
4.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1243
9.57 IPS |
|
|
Depth Estimation (Q)
|
85% |
773
6.05 IPS |
|
|
Style Transfer (SP)
|
100% |
4993
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3243
4.17 IPS |
|
|
Style Transfer (Q)
|
96% |
2527
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.9 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (Q)
|
93% |
520
698.4 IPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
681
11.8 IPS |
