MacBook Pro (13-inch, 2022)
Geekbench ML Score
3711
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 13 2025 09:37 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.46 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% |
1282
240.0 IPS |
|
|
Image Classification (F16)
|
100% |
2176
407.1 IPS |
|
|
Image Classification (I8)
|
99% |
2064
386.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
754
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1006
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1090
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6154
7.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
13074
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13464
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1316
98.2 IPS |
|
|
Object Detection (F16)
|
100% |
2243
167.5 IPS |
|
|
Object Detection (I8)
|
97% |
1335
99.7 IPS |
|
|
Face Detection (F32)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
5112
60.8 IPS |
|
|
Face Detection (I8)
|
96% |
5574
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5423
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10692
82.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10521
81.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17730
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28214
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28075
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4024
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5079
181.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5044
180.1 IPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3508
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3467
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1364
25.1 IPS |
