MacBook Pro (13-inch, 2022)
Geekbench ML Score
3726
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 17 2025 06:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
865
161.8 IPS |
|
|
Image Classification (F16)
|
100% |
2235
418.3 IPS |
|
|
Image Classification (I8)
|
99% |
2235
418.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1073
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6225
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
13966
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14218
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1315
98.1 IPS |
|
|
Object Detection (F16)
|
100% |
2400
179.1 IPS |
|
|
Object Detection (I8)
|
97% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5485
65.2 IPS |
|
|
Face Detection (I8)
|
96% |
5765
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5351
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10650
82.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11040
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17883
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28381
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27928
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4004
143.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5196
185.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5243
187.2 IPS |
|
|
Text Classification (F32)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3436
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3362
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1338
24.6 IPS |
