iMac (27-inch Retina Mid 2020)
Geekbench AI Score
1032
Single Precision Score
817
Half Precision Score
557
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | slavatsarev |
| Upload Date | January 03 2025 06:10 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-10700K |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 72.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
96% |
220
41.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
953
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
92% |
253
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
887
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3853
4.95 IPS |
|
|
Style Transfer (Q)
|
96% |
2939
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.2 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
93% |
509
682.8 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
668
11.5 IPS |
