MacBook Pro (13-inch, 2022)
Geekbench ML Score
3472
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 08 2026 06:29 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
1081
202.4 IPS |
|
|
Image Classification (F16)
|
100% |
1881
351.9 IPS |
|
|
Image Classification (I8)
|
99% |
1982
370.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
9.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1042
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
988
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4961
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
11211
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10757
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1100
82.1 IPS |
|
|
Object Detection (F16)
|
100% |
2116
157.9 IPS |
|
|
Object Detection (I8)
|
97% |
1315
98.2 IPS |
|
|
Face Detection (F32)
|
100% |
2465
29.3 IPS |
|
|
Face Detection (F16)
|
97% |
5575
66.3 IPS |
|
|
Face Detection (I8)
|
96% |
5235
62.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4295
33.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8988
69.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10047
77.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16527
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28459
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27926
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3622
129.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5208
186.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5295
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
2404
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
4576
6.58 KIPS |
|
|
Text Classification (I8)
|
96% |
4647
6.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1501
27.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1179
21.7 IPS |
