MacBook Pro (13-inch, 2022)
Geekbench ML Score
3781
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1263
236.3 IPS |
|
|
Image Classification (F16)
|
100% |
2411
451.3 IPS |
|
|
Image Classification (I8)
|
99% |
2334
436.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
771
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1144
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6099
7.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
14345
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14265
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1300
97.1 IPS |
|
|
Object Detection (F16)
|
100% |
2320
173.2 IPS |
|
|
Object Detection (I8)
|
97% |
1301
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5795
68.9 IPS |
|
|
Face Detection (I8)
|
96% |
5827
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5291
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10888
84.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10705
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17365
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27639
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27678
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3783
135.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5011
179.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4991
178.2 IPS |
|
|
Text Classification (F32)
|
100% |
2183
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3568
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3525
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1372
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1376
25.3 IPS |
