iMac (27-inch Retina Mid 2020)
Geekbench ML Score
3972
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:48 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3146
588.6 IPS |
|
|
Image Classification (F16)
|
100% |
3191
597.2 IPS |
|
|
Image Classification (I8)
|
99% |
3208
600.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
467
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
470
7.86 IPS |
|
|
Image Segmentation (I8)
|
100% |
470
7.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
19112
23.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18659
22.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
18675
22.6 IPS |
|
|
Object Detection (F32)
|
100% |
2322
173.3 IPS |
|
|
Object Detection (F16)
|
100% |
2394
178.8 IPS |
|
|
Object Detection (I8)
|
97% |
2353
175.7 IPS |
|
|
Face Detection (F32)
|
100% |
9411
111.9 IPS |
|
|
Face Detection (F16)
|
98% |
10251
121.9 IPS |
|
|
Face Detection (I8)
|
97% |
9831
116.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13863
107.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13729
106.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
13470
104.5 IPS |
|
|
Style Transfer (F32)
|
100% |
31318
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
37495
49.3 IPS |
|
|
Style Transfer (I8)
|
100% |
37182
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6540
233.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8499
303.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7776
277.7 IPS |
|
|
Text Classification (F32)
|
100% |
397
570.8 IPS |
|
|
Text Classification (F16)
|
100% |
679
976.3 IPS |
|
|
Text Classification (I8)
|
96% |
548
787.3 IPS |
|
|
Machine Translation (F32)
|
100% |
901
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (I8)
|
99% |
901
16.6 IPS |
