iMac (27-inch Retina Mid 2020)
Geekbench AI Score
1019
Single Precision Score
740
Half Precision Score
505
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | December 09 2024 12:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
96% |
200
37.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
887
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
792
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
92% |
235
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
100% |
367
4.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.55 IPS |
|
|
Depth Estimation (Q)
|
85% |
767
6.00 IPS |
|
|
Style Transfer (SP)
|
100% |
3880
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3143
4.04 IPS |
|
|
Style Transfer (Q)
|
96% |
2477
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.8 IPS |
|
|
Text Classification (HP)
|
100% |
485
647.4 IPS |
|
|
Text Classification (Q)
|
93% |
488
654.9 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
670
11.6 IPS |
