iMac (27-inch Retina Mid 2020)
Geekbench ML Score
3812
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | November 09 2024 02:01 PM |
| Views | 4 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2099
392.7 IPS |
|
|
Image Classification (F16)
|
100% |
2339
437.8 IPS |
|
|
Image Classification (I8)
|
99% |
2202
412.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
449
7.50 IPS |
|
|
Image Segmentation (I8)
|
100% |
449
7.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
19179
23.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
18744
22.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
18607
22.5 IPS |
|
|
Object Detection (F32)
|
100% |
2203
164.4 IPS |
|
|
Object Detection (F16)
|
100% |
2391
178.5 IPS |
|
|
Object Detection (I8)
|
97% |
2330
174.0 IPS |
|
|
Face Detection (F32)
|
100% |
9083
108.0 IPS |
|
|
Face Detection (F16)
|
98% |
9013
107.2 IPS |
|
|
Face Detection (I8)
|
97% |
9764
116.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13712
106.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13812
107.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
13353
103.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37322
49.1 IPS |
|
|
Style Transfer (F16)
|
100% |
38198
50.2 IPS |
|
|
Style Transfer (I8)
|
100% |
37322
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6458
230.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8232
294.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8029
286.7 IPS |
|
|
Text Classification (F32)
|
100% |
442
635.5 IPS |
|
|
Text Classification (F16)
|
100% |
662
951.1 IPS |
|
|
Text Classification (I8)
|
96% |
570
819.4 IPS |
|
|
Machine Translation (F32)
|
100% |
936
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (I8)
|
99% |
922
17.0 IPS |
