iMac (24-inch Mid 2021)
Geekbench ML Score
6886
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:55 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1787
334.4 IPS |
|
|
Image Classification (F16)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6310
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3806
63.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3795
63.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16558
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63418
76.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
64080
77.6 IPS |
|
|
Object Detection (F32)
|
100% |
1513
113.0 IPS |
|
|
Object Detection (F16)
|
100% |
3978
297.0 IPS |
|
|
Object Detection (I8)
|
97% |
1506
112.4 IPS |
|
|
Face Detection (F32)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (F16)
|
97% |
11641
138.4 IPS |
|
|
Face Detection (I8)
|
96% |
11657
138.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12376
96.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39481
306.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
40399
313.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28873
38.0 IPS |
|
|
Style Transfer (F16)
|
100% |
113995
150.0 IPS |
|
|
Style Transfer (I8)
|
100% |
120021
157.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6431
229.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18259
652.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18134
647.6 IPS |
|
|
Text Classification (F32)
|
100% |
416
598.4 IPS |
|
|
Text Classification (F16)
|
100% |
2226
3.20 KIPS |
|
|
Text Classification (I8)
|
96% |
2217
3.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
675
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2110
38.8 IPS |
|
|
Machine Translation (I8)
|
99% |
673
12.4 IPS |
