MacBook Pro (13-inch, 2022)
Geekbench ML Score
3588
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 04:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.29 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% |
1245
233.0 IPS |
|
|
Image Classification (F16)
|
100% |
2031
380.1 IPS |
|
|
Image Classification (I8)
|
99% |
2066
386.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
9.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
967
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5736
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
11451
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12499
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
2348
175.3 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
5798
68.9 IPS |
|
|
Face Detection (I8)
|
96% |
5303
63.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5055
39.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10474
81.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10824
83.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17842
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26972
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27786
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3909
139.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5071
181.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5139
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3374
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1272
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
