MacBook Pro (13-inch, 2022)
Geekbench ML Score
3808
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 28 2024 03:24 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 | 3.35 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% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
2361
441.7 IPS |
|
|
Image Classification (I8)
|
99% |
2324
434.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
814
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1113
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6282
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
14035
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13871
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
2483
185.4 IPS |
|
|
Object Detection (I8)
|
97% |
1439
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5832
69.3 IPS |
|
|
Face Detection (I8)
|
97% |
5431
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5454
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11499
89.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11569
89.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18204
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26936
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26859
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4254
151.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5062
180.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5058
180.6 IPS |
|
|
Text Classification (F32)
|
100% |
1956
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3244
4.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3404
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
