MacBook Pro (13-inch, 2022)
Geekbench ML Score
3802
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 04:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
2354
440.4 IPS |
|
|
Image Classification (I8)
|
99% |
2378
445.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1075
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
995
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6491
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14664
17.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14635
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
2314
172.7 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5700
67.8 IPS |
|
|
Face Detection (I8)
|
97% |
5681
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5195
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9747
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10873
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16972
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28296
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28563
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4135
147.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5134
183.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4859
173.5 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3543
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3608
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1287
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1252
23.0 IPS |
