iMac (24-inch Mid 2021)
Geekbench ML Score
6832
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Kewl |
| Upload Date | August 15 2024 05:21 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1747
326.8 IPS |
|
|
Image Classification (F16)
|
100% |
6237
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6419
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3830
64.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3839
64.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16286
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62879
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
63692
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
1501
112.1 IPS |
|
|
Object Detection (F16)
|
100% |
3859
288.1 IPS |
|
|
Object Detection (I8)
|
97% |
1458
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
6029
71.7 IPS |
|
|
Face Detection (F16)
|
97% |
11774
140.0 IPS |
|
|
Face Detection (I8)
|
96% |
10623
126.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12106
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
39102
303.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
40561
314.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28594
37.6 IPS |
|
|
Style Transfer (F16)
|
100% |
114158
150.2 IPS |
|
|
Style Transfer (I8)
|
100% |
120327
158.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6438
229.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18197
649.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18023
643.7 IPS |
|
|
Text Classification (F32)
|
100% |
403
579.0 IPS |
|
|
Text Classification (F16)
|
100% |
2219
3.19 KIPS |
|
|
Text Classification (I8)
|
96% |
2261
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
685
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2083
38.3 IPS |
|
|
Machine Translation (I8)
|
99% |
659
12.1 IPS |
