iMac (27-inch Retina Mid 2020)
Geekbench ML Score
736
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:52 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
86.6 IPS |
|
|
Image Classification (F16)
|
100% |
323
60.5 IPS |
|
|
Image Classification (I8)
|
99% |
319
59.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
299
4.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
3.76 IPS |
|
|
Image Segmentation (I8)
|
100% |
223
3.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
2835
3.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
2166
2.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2137
2.59 IPS |
|
|
Object Detection (F32)
|
100% |
459
34.3 IPS |
|
|
Object Detection (F16)
|
100% |
366
27.4 IPS |
|
|
Object Detection (I8)
|
97% |
452
33.7 IPS |
|
|
Face Detection (F32)
|
100% |
882
10.5 IPS |
|
|
Face Detection (F16)
|
98% |
711
8.46 IPS |
|
|
Face Detection (I8)
|
97% |
720
8.56 IPS |
|
|
Depth Estimation (F32)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1098
8.51 IPS |
|
|
Depth Estimation (I8)
|
99% |
1110
8.61 IPS |
|
|
Style Transfer (F32)
|
100% |
3734
4.91 IPS |
|
|
Style Transfer (F16)
|
100% |
3697
4.86 IPS |
|
|
Style Transfer (I8)
|
100% |
3644
4.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1593
56.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
783
27.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
790
28.2 IPS |
|
|
Text Classification (F32)
|
100% |
438
629.3 IPS |
|
|
Text Classification (F16)
|
100% |
454
652.1 IPS |
|
|
Text Classification (I8)
|
96% |
443
637.1 IPS |
|
|
Machine Translation (F32)
|
100% |
319
5.87 IPS |
|
|
Machine Translation (F16)
|
100% |
406
7.47 IPS |
|
|
Machine Translation (I8)
|
99% |
319
5.86 IPS |
