iMac (24-inch, 2023)
Geekbench ML Score
4242
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | chadler |
| Upload Date | August 15 2024 05:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1662
310.9 IPS |
|
|
Image Classification (F16)
|
100% |
2238
418.8 IPS |
|
|
Image Classification (I8)
|
99% |
2240
419.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1020
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1019
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8168
9.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
16384
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16260
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1766
131.9 IPS |
|
|
Object Detection (F16)
|
100% |
2363
176.4 IPS |
|
|
Object Detection (I8)
|
97% |
1768
132.0 IPS |
|
|
Face Detection (F32)
|
100% |
3209
38.2 IPS |
|
|
Face Detection (F16)
|
97% |
5229
62.2 IPS |
|
|
Face Detection (I8)
|
97% |
5118
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6843
53.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10018
77.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10012
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21159
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31688
41.7 IPS |
|
|
Style Transfer (I8)
|
100% |
31709
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5026
179.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6254
223.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6235
222.7 IPS |
|
|
Text Classification (F32)
|
100% |
2606
3.75 KIPS |
|
|
Text Classification (F16)
|
100% |
4308
6.19 KIPS |
|
|
Text Classification (I8)
|
96% |
4319
6.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1723
31.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1489
27.4 IPS |
