MacBook Pro (13-inch, 2022)
Geekbench ML Score
3847
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 27 2024 05:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 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% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2517
471.0 IPS |
|
|
Image Classification (I8)
|
99% |
2513
470.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1053
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6447
7.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
14171
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14380
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1416
105.7 IPS |
|
|
Object Detection (F16)
|
100% |
2482
185.3 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5707
67.9 IPS |
|
|
Face Detection (I8)
|
97% |
5693
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5619
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11661
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11656
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17487
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28436
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28007
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4204
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4875
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4761
170.0 IPS |
|
|
Text Classification (F32)
|
100% |
1960
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3207
4.61 KIPS |
|
|
Text Classification (I8)
|
96% |
3207
4.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
