MacBook Pro (13-inch, 2022)
Geekbench ML Score
3584
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 06:22 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.18 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% |
1094
204.7 IPS |
|
|
Image Classification (F16)
|
100% |
1262
236.2 IPS |
|
|
Image Classification (I8)
|
99% |
1648
308.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
741
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1033
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1102
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6115
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14153
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14247
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
2314
172.8 IPS |
|
|
Object Detection (I8)
|
97% |
1295
96.7 IPS |
|
|
Face Detection (F32)
|
100% |
2932
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5747
68.3 IPS |
|
|
Face Detection (I8)
|
96% |
5642
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5390
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10801
83.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9544
74.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17153
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27658
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27702
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3863
137.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5169
184.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4950
176.8 IPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3594
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3418
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1296
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1523
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
