MacBook Pro (13-inch, 2022)
Geekbench ML Score
3777
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2025 06:19 PM |
| Views | 8 |
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 | 3.47 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% |
1270
237.6 IPS |
|
|
Image Classification (F16)
|
100% |
2414
451.7 IPS |
|
|
Image Classification (I8)
|
99% |
2312
432.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1020
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1152
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6069
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
14336
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14100
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1299
96.9 IPS |
|
|
Object Detection (F16)
|
100% |
2300
171.7 IPS |
|
|
Object Detection (I8)
|
97% |
1303
97.3 IPS |
|
|
Face Detection (F32)
|
100% |
3007
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5846
69.5 IPS |
|
|
Face Detection (I8)
|
96% |
5853
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5386
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10961
85.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10746
83.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17648
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27656
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27758
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3833
136.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5025
179.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5045
180.2 IPS |
|
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3433
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3514
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1356
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
