iMac (24-inch, 2023)
Geekbench ML Score
4167
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:30 AM |
| Views | 7 |
| Notes | iMac (24-inch, 2023, Four ports)/M3 8Core CPU/10 Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1602
299.9 IPS |
|
|
Image Classification (F16)
|
100% |
2191
409.9 IPS |
|
|
Image Classification (I8)
|
99% |
2185
408.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1025
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
973
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8238
9.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
16328
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16306
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1703
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
2312
172.6 IPS |
|
|
Object Detection (I8)
|
97% |
1705
127.3 IPS |
|
|
Face Detection (F32)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (F16)
|
97% |
4979
59.2 IPS |
|
|
Face Detection (I8)
|
97% |
5000
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6766
52.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9759
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9798
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20944
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
31151
41.0 IPS |
|
|
Style Transfer (I8)
|
100% |
30929
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5112
182.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6266
223.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6216
222.0 IPS |
|
|
Text Classification (F32)
|
100% |
2662
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4373
6.29 KIPS |
|
|
Text Classification (I8)
|
96% |
4370
6.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1447
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1449
26.7 IPS |
