MacBook Pro (13-inch, 2022)
Geekbench ML Score
3598
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 25 2025 06:21 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.20 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% |
1180
220.8 IPS |
|
|
Image Classification (F16)
|
100% |
2356
440.8 IPS |
|
|
Image Classification (I8)
|
99% |
2063
386.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
9.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5282
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
13756
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13877
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1286
96.0 IPS |
|
|
Object Detection (F16)
|
100% |
2268
169.3 IPS |
|
|
Object Detection (I8)
|
97% |
1276
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
5201
61.8 IPS |
|
|
Face Detection (I8)
|
96% |
5707
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5417
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10823
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10507
81.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17709
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28187
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28078
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3929
140.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4868
173.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4934
176.2 IPS |
|
|
Text Classification (F32)
|
100% |
2024
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3205
4.61 KIPS |
|
|
Text Classification (I8)
|
96% |
3399
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1335
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1369
25.2 IPS |
