iMac (27-inch Retina Mid 2020)
Geekbench AI Score
983
Single Precision Score
694
Half Precision Score
558
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | SistoZan |
| Upload Date | November 27 2024 10:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10500 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
100% |
412
6.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
838
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
738
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
92% |
225
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
100% |
335
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1570
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1185
9.13 IPS |
|
|
Depth Estimation (Q)
|
97% |
1170
9.05 IPS |
|
|
Style Transfer (SP)
|
100% |
4552
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3000
3.86 IPS |
|
|
Style Transfer (Q)
|
100% |
2999
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.5 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.8 IPS |
|
|
Text Classification (Q)
|
93% |
450
603.4 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
622
10.7 IPS |
