MacBook Pro (13-inch, 2022)
Geekbench ML Score
3495
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 06:28 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
985
184.4 IPS |
|
|
Image Classification (F16)
|
100% |
2142
400.9 IPS |
|
|
Image Classification (I8)
|
99% |
1583
296.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
900
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1119
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5991
7.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
14261
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13667
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (F16)
|
100% |
2239
167.1 IPS |
|
|
Object Detection (I8)
|
97% |
1143
85.3 IPS |
|
|
Face Detection (F32)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (F16)
|
97% |
5550
66.0 IPS |
|
|
Face Detection (I8)
|
96% |
5692
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5312
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10426
80.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9153
71.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16903
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27735
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26192
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3861
137.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4815
172.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4427
158.1 IPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3455
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1568
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
