iMac (27-inch Retina Mid 2020)
Geekbench AI Score
830
Single Precision Score
637
Half Precision Score
523
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | January 16 2025 03:25 AM |
| Views | 5 |
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% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (Q)
|
99% |
304
56.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (Q)
|
100% |
351
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
676
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
92% |
216
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (Q)
|
100% |
322
3.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
1253
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1108
8.54 IPS |
|
|
Depth Estimation (Q)
|
97% |
1110
8.58 IPS |
|
|
Style Transfer (SP)
|
100% |
3084
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2730
3.51 IPS |
|
|
Style Transfer (Q)
|
100% |
2748
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1388
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.9 IPS |
|
|
Text Classification (Q)
|
93% |
444
595.6 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
588
10.2 IPS |
