MacBook Pro (13-inch, 2022)
Geekbench ML Score
3598
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 09:34 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.30 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% |
1297
242.6 IPS |
|
|
Image Classification (F16)
|
100% |
2298
430.0 IPS |
|
|
Image Classification (I8)
|
99% |
2294
429.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1000
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
992
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5744
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
11405
13.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11670
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1372
102.4 IPS |
|
|
Object Detection (F16)
|
100% |
2066
154.2 IPS |
|
|
Object Detection (I8)
|
97% |
1267
94.6 IPS |
|
|
Face Detection (F32)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (F16)
|
97% |
5703
67.8 IPS |
|
|
Face Detection (I8)
|
96% |
4736
56.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4969
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9564
74.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10534
81.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17161
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27383
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27612
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4050
144.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5217
186.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5184
185.1 IPS |
|
|
Text Classification (F32)
|
100% |
1965
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3331
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3213
4.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1315
24.2 IPS |
