iMac (24-inch, 2023)
Geekbench ML Score
5182
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:25 AM |
| Views | 7 |
| 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 | 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% |
3704
693.1 IPS |
|
|
Image Classification (F16)
|
100% |
3909
731.5 IPS |
|
|
Image Classification (I8)
|
99% |
3462
647.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1570
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1796
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1745
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
19476
23.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
20730
25.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
20419
24.7 IPS |
|
|
Object Detection (F32)
|
100% |
3263
243.6 IPS |
|
|
Object Detection (F16)
|
100% |
3422
255.4 IPS |
|
|
Object Detection (I8)
|
97% |
2988
223.1 IPS |
|
|
Face Detection (F32)
|
100% |
9974
118.6 IPS |
|
|
Face Detection (F16)
|
98% |
11930
141.8 IPS |
|
|
Face Detection (I8)
|
97% |
11460
136.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16670
129.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18443
143.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
16840
130.6 IPS |
|
|
Style Transfer (F32)
|
100% |
43142
56.7 IPS |
|
|
Style Transfer (F16)
|
100% |
48475
63.8 IPS |
|
|
Style Transfer (I8)
|
100% |
48109
63.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5818
207.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6947
248.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7288
260.3 IPS |
|
|
Text Classification (F32)
|
100% |
584
839.1 IPS |
|
|
Text Classification (F16)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
690
991.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1042
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
