MacBook Pro (13-inch, 2022)
Geekbench ML Score
3747
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 14 2025 06:45 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 | 3.48 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% |
1311
245.3 IPS |
|
|
Image Classification (F16)
|
100% |
2270
424.8 IPS |
|
|
Image Classification (I8)
|
99% |
2189
409.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
967
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1058
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6256
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
13580
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13845
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1313
98.1 IPS |
|
|
Object Detection (F16)
|
100% |
2317
173.0 IPS |
|
|
Object Detection (I8)
|
97% |
1300
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
2999
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5827
69.3 IPS |
|
|
Face Detection (I8)
|
96% |
5782
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4976
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11001
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10540
81.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17996
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28572
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28630
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4036
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5053
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5088
181.7 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3420
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1625
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1388
25.5 IPS |
