MacBook Pro (13-inch, 2022)
Geekbench ML Score
3765
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 28 2025 06:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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% |
1357
253.8 IPS |
|
|
Image Classification (F16)
|
100% |
2381
445.6 IPS |
|
|
Image Classification (I8)
|
99% |
2378
445.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
867
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1094
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1125
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6486
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14193
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13264
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (I8)
|
97% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5467
65.0 IPS |
|
|
Face Detection (I8)
|
97% |
5190
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5273
40.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10760
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10743
83.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17640
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26771
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28142
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4076
145.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5169
184.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5155
184.1 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3493
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1233
22.7 IPS |
