MacBook Pro (13-inch, 2022)
Geekbench ML Score
3366
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 30 2025 06:52 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.42 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% |
1137
212.7 IPS |
|
|
Image Classification (F16)
|
100% |
2257
422.3 IPS |
|
|
Image Classification (I8)
|
99% |
2126
397.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
904
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1030
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5636
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12509
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13846
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1215
90.7 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.7 IPS |
|
|
Object Detection (I8)
|
97% |
1238
92.4 IPS |
|
|
Face Detection (F32)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (F16)
|
97% |
5594
66.5 IPS |
|
|
Face Detection (I8)
|
96% |
5625
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5195
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8697
67.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8587
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11249
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
24519
32.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25287
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3324
118.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4111
146.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3854
137.6 IPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3359
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3315
4.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1176
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1560
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1112
20.5 IPS |
