MacBook Pro (13-inch, 2022)
Geekbench ML Score
3610
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 06:16 PM |
| Views | 9 |
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 | 3.46 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% |
1288
241.0 IPS |
|
|
Image Classification (F16)
|
100% |
2413
451.6 IPS |
|
|
Image Classification (I8)
|
99% |
2308
431.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
698
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1093
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6516
7.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
14129
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14139
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1355
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
2301
171.8 IPS |
|
|
Object Detection (I8)
|
97% |
1366
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
2957
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5727
68.1 IPS |
|
|
Face Detection (I8)
|
96% |
5670
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5448
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10940
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9806
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15891
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27721
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26771
35.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3729
133.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3966
141.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3622
129.4 IPS |
|
|
Text Classification (F32)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
3326
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1146
21.1 IPS |
