iMac (24-inch Mid 2021)
Geekbench ML Score
2977
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Kewl |
| Upload Date | August 15 2024 05:16 PM |
| 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% |
1284
240.3 IPS |
|
|
Image Classification (F16)
|
100% |
1670
312.5 IPS |
|
|
Image Classification (I8)
|
99% |
1671
312.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
576
9.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (I8)
|
100% |
576
9.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
5628
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12996
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12974
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
1758
131.2 IPS |
|
|
Object Detection (I8)
|
97% |
1321
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3889
46.2 IPS |
|
|
Face Detection (I8)
|
97% |
3894
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5191
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8168
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8167
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15191
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24071
31.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24132
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3474
124.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4419
157.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4519
161.4 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3408
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3357
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
721
13.3 IPS |
