iMac (24-inch, 2023)
Geekbench ML Score
6109
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:32 AM |
| Views | 6 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4055
758.7 IPS |
|
|
Image Classification (F16)
|
100% |
4359
815.7 IPS |
|
|
Image Classification (I8)
|
99% |
3883
726.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1681
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1877
31.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1823
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
24104
29.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25706
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25112
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
3538
264.2 IPS |
|
|
Object Detection (F16)
|
100% |
3747
279.7 IPS |
|
|
Object Detection (I8)
|
97% |
3246
242.3 IPS |
|
|
Face Detection (F32)
|
100% |
10735
127.6 IPS |
|
|
Face Detection (F16)
|
98% |
13592
161.6 IPS |
|
|
Face Detection (I8)
|
97% |
13104
155.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18388
142.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
20401
158.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
18570
144.0 IPS |
|
|
Style Transfer (F32)
|
100% |
50852
66.9 IPS |
|
|
Style Transfer (F16)
|
100% |
58552
77.0 IPS |
|
|
Style Transfer (I8)
|
100% |
58257
76.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10649
380.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7610
271.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11060
395.0 IPS |
|
|
Text Classification (F32)
|
100% |
1452
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
944
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1046
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
680
12.5 IPS |
