iMac (27-inch Retina Mid 2020)
Geekbench ML Score
3976
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | August 01 2024 08:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3206
599.8 IPS |
|
|
Image Classification (F16)
|
100% |
3260
610.0 IPS |
|
|
Image Classification (I8)
|
99% |
2842
531.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
440
7.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
451
7.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
19338
23.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18778
22.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
18848
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
2333
174.2 IPS |
|
|
Object Detection (F16)
|
100% |
2384
178.0 IPS |
|
|
Object Detection (I8)
|
97% |
2334
174.3 IPS |
|
|
Face Detection (F32)
|
100% |
9687
115.2 IPS |
|
|
Face Detection (F16)
|
98% |
8585
102.1 IPS |
|
|
Face Detection (I8)
|
97% |
9593
114.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13249
102.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14041
108.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
13264
102.9 IPS |
|
|
Style Transfer (F32)
|
100% |
36505
48.0 IPS |
|
|
Style Transfer (F16)
|
100% |
37699
49.6 IPS |
|
|
Style Transfer (I8)
|
100% |
37892
49.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6301
225.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8520
304.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8033
286.9 IPS |
|
|
Text Classification (F32)
|
100% |
454
652.3 IPS |
|
|
Text Classification (F16)
|
100% |
701
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
566
812.8 IPS |
|
|
Machine Translation (F32)
|
100% |
919
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
586
10.8 IPS |
|
|
Machine Translation (I8)
|
99% |
925
17.0 IPS |
