iMac (27-inch Retina Mid 2020)
Geekbench ML Score
3967
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:54 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3194
597.7 IPS |
|
|
Image Classification (F16)
|
100% |
3237
605.8 IPS |
|
|
Image Classification (I8)
|
99% |
3234
605.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
484
8.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
477
7.97 IPS |
|
|
Image Segmentation (I8)
|
100% |
467
7.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
19104
23.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18666
22.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
18644
22.6 IPS |
|
|
Object Detection (F32)
|
100% |
2110
157.5 IPS |
|
|
Object Detection (F16)
|
100% |
2271
169.5 IPS |
|
|
Object Detection (I8)
|
97% |
2307
172.2 IPS |
|
|
Face Detection (F32)
|
100% |
8848
105.2 IPS |
|
|
Face Detection (F16)
|
98% |
8979
106.8 IPS |
|
|
Face Detection (I8)
|
97% |
8809
104.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13610
105.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14076
109.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
13601
105.5 IPS |
|
|
Style Transfer (F32)
|
100% |
36998
48.7 IPS |
|
|
Style Transfer (F16)
|
100% |
37075
48.8 IPS |
|
|
Style Transfer (I8)
|
100% |
37196
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6574
234.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8171
291.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8008
286.0 IPS |
|
|
Text Classification (F32)
|
100% |
455
654.3 IPS |
|
|
Text Classification (F16)
|
100% |
681
979.0 IPS |
|
|
Text Classification (I8)
|
96% |
548
787.5 IPS |
|
|
Machine Translation (F32)
|
100% |
920
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
582
10.7 IPS |
|
|
Machine Translation (I8)
|
99% |
935
17.2 IPS |
