iMac (24-inch, 2023)
Geekbench ML Score
4673
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Andji |
| Upload Date | April 11 2025 12:22 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1518
284.1 IPS |
|
|
Image Classification (F16)
|
100% |
2921
546.5 IPS |
|
|
Image Classification (I8)
|
99% |
2947
551.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1460
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8509
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16770
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16758
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
1733
129.3 IPS |
|
|
Object Detection (F16)
|
100% |
2821
210.6 IPS |
|
|
Object Detection (I8)
|
97% |
1699
126.8 IPS |
|
|
Face Detection (F32)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (F16)
|
97% |
6378
75.8 IPS |
|
|
Face Detection (I8)
|
97% |
6385
75.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7089
55.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12866
99.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
12913
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21739
28.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33640
44.3 IPS |
|
|
Style Transfer (I8)
|
100% |
33544
44.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5267
188.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6255
223.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6245
223.0 IPS |
|
|
Text Classification (F32)
|
100% |
2735
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4876
7.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4995
7.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1441
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1798
33.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1436
26.4 IPS |
