MacBook Pro (13-inch, 2022)
Geekbench ML Score
3793
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 11 2024 07:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
1344
251.4 IPS |
|
|
Image Classification (F16)
|
100% |
2423
453.4 IPS |
|
|
Image Classification (I8)
|
99% |
2323
434.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1140
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6570
7.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
13922
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13837
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1358
101.4 IPS |
|
|
Object Detection (F16)
|
100% |
2326
173.6 IPS |
|
|
Object Detection (I8)
|
97% |
1366
101.9 IPS |
|
|
Face Detection (F32)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5803
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5811
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5628
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11717
90.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11415
88.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18313
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27903
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27970
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4092
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4835
172.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4890
174.6 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3369
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3306
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1561
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.1 IPS |
