MacBook Pro (13-inch, 2022)
Geekbench ML Score
3608
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2025 06:36 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1147
214.7 IPS |
|
|
Image Classification (F16)
|
100% |
2421
453.0 IPS |
|
|
Image Classification (I8)
|
99% |
2443
457.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
765
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
925
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5969
7.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
14231
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14086
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1218
90.9 IPS |
|
|
Object Detection (F16)
|
100% |
2383
177.9 IPS |
|
|
Object Detection (I8)
|
97% |
1283
95.8 IPS |
|
|
Face Detection (F32)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
5362
63.8 IPS |
|
|
Face Detection (I8)
|
96% |
5393
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4980
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10069
78.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10205
79.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16654
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27285
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27308
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3754
134.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5002
178.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5164
184.4 IPS |
|
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3551
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1100
20.3 IPS |
