MacBook Pro (13-inch, 2022)
Geekbench ML Score
3517
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 04:27 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.44 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% |
1187
222.1 IPS |
|
|
Image Classification (F16)
|
100% |
2412
451.4 IPS |
|
|
Image Classification (I8)
|
99% |
2333
436.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
680
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
950
15.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1150
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6074
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
14301
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14279
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1286
96.0 IPS |
|
|
Object Detection (F16)
|
100% |
2329
173.9 IPS |
|
|
Object Detection (I8)
|
97% |
1273
95.1 IPS |
|
|
Face Detection (F32)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5728
68.1 IPS |
|
|
Face Detection (I8)
|
96% |
5636
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5298
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10900
84.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7714
59.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12671
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
20954
27.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27584
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3603
128.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3937
140.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4597
164.2 IPS |
|
|
Text Classification (F32)
|
100% |
1958
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3508
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3518
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1287
23.7 IPS |
