MacBook Pro (13-inch, 2022)
Geekbench ML Score
3771
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 08:03 PM |
| Views | 2 |
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 | 3.12 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% |
1235
231.1 IPS |
|
|
Image Classification (F16)
|
100% |
2402
449.5 IPS |
|
|
Image Classification (I8)
|
99% |
2461
460.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1055
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1002
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5906
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14471
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14475
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
2316
172.9 IPS |
|
|
Object Detection (I8)
|
97% |
1358
101.4 IPS |
|
|
Face Detection (F32)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5488
65.3 IPS |
|
|
Face Detection (I8)
|
96% |
5579
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5382
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10908
84.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10697
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17268
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27525
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27624
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3836
137.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5179
184.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5084
181.6 IPS |
|
|
Text Classification (F32)
|
100% |
2051
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3606
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3621
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1301
23.9 IPS |
