iMac (24-inch Mid 2021)
Geekbench ML Score
2920
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2024 07:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,1 |
| Motherboard | iMac21,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1226
229.5 IPS |
|
|
Image Classification (F16)
|
100% |
1587
296.9 IPS |
|
|
Image Classification (I8)
|
99% |
1628
304.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
590
9.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
604
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
582
9.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
5127
6.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
12114
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12993
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1302
97.2 IPS |
|
|
Object Detection (F16)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (I8)
|
97% |
1289
96.2 IPS |
|
|
Face Detection (F32)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (F16)
|
97% |
3757
44.7 IPS |
|
|
Face Detection (I8)
|
97% |
3817
45.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4891
37.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7868
61.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8079
62.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14915
19.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24287
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24189
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3496
124.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4480
160.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4467
159.5 IPS |
|
|
Text Classification (F32)
|
100% |
1979
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3160
4.54 KIPS |
|
|
Text Classification (I8)
|
96% |
3159
4.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
742
13.7 IPS |
