MacBook Pro (13-inch, 2022)
Geekbench ML Score
3387
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 15 2025 02:35 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.08 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% |
955
178.7 IPS |
|
|
Image Classification (F16)
|
100% |
1962
367.2 IPS |
|
|
Image Classification (I8)
|
99% |
1891
353.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
935
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5539
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
13098
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13769
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1146
85.5 IPS |
|
|
Object Detection (F16)
|
100% |
2300
171.7 IPS |
|
|
Object Detection (I8)
|
97% |
1212
90.5 IPS |
|
|
Face Detection (F32)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
5299
63.0 IPS |
|
|
Face Detection (I8)
|
96% |
4944
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5228
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10487
81.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10462
81.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17477
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21951
28.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26382
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3726
133.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4985
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5258
187.8 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3213
4.62 KIPS |
|
|
Text Classification (I8)
|
96% |
1734
2.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1253
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
