iMac (27-inch Retina Mid 2020)
Geekbench AI Score
719
Single Precision Score
536
Half Precision Score
444
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | January 13 2025 08:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| 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 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% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (Q)
|
100% |
338
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
594
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
92% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
672
7.99 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.83 IPS |
|
|
Depth Estimation (Q)
|
97% |
892
6.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2869
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2309
2.97 IPS |
|
|
Style Transfer (Q)
|
100% |
2096
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
323
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.1 IPS |
|
|
Text Classification (HP)
|
100% |
377
502.9 IPS |
|
|
Text Classification (Q)
|
93% |
351
471.0 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
98% |
426
7.35 IPS |
