iMac (24-inch, 2023)
Geekbench ML Score
4171
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:22 AM |
| Views | 8 |
| Notes | iMac (24-inch, 2023, Two ports)/M3 8Core CPU/8 Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,4 |
| Motherboard | Mac15,4 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.78 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1605
300.4 IPS |
|
|
Image Classification (F16)
|
100% |
2187
409.2 IPS |
|
|
Image Classification (I8)
|
99% |
2192
410.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
985
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8199
9.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
16357
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16352
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1708
127.5 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
97% |
1711
127.8 IPS |
|
|
Face Detection (F32)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (F16)
|
97% |
4955
58.9 IPS |
|
|
Face Detection (I8)
|
97% |
4953
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6709
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9778
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9776
75.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20943
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30948
40.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30938
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5113
182.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6221
222.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6241
222.9 IPS |
|
|
Text Classification (F32)
|
100% |
2674
3.84 KIPS |
|
|
Text Classification (F16)
|
100% |
4389
6.31 KIPS |
|
|
Text Classification (I8)
|
96% |
4384
6.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1453
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1457
26.8 IPS |
