MacBook Pro (13-inch, 2022)
Geekbench ML Score
2753
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 09:08 AM |
| Views | 2 |
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 | 3.05 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% |
1087
203.4 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.5 IPS |
|
|
Image Classification (I8)
|
99% |
1128
211.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
551
9.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
727
12.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
546
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
4037
4.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
8838
10.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14087
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1352
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
2296
171.4 IPS |
|
|
Object Detection (I8)
|
97% |
1404
104.8 IPS |
|
|
Face Detection (F32)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (F16)
|
97% |
5113
60.8 IPS |
|
|
Face Detection (I8)
|
96% |
5477
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5097
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10749
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9754
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8929
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14629
19.2 IPS |
|
|
Style Transfer (I8)
|
100% |
17373
22.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2477
88.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2949
105.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2457
87.7 IPS |
|
|
Text Classification (F32)
|
100% |
1231
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (I8)
|
96% |
2213
3.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
904
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1300
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1229
22.6 IPS |
