MacBook Pro (13-inch, 2022)
Geekbench ML Score
3706
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 05 2025 07:00 PM |
| Views | 3 |
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 | 3.28 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% |
1170
218.9 IPS |
|
|
Image Classification (F16)
|
100% |
2371
443.7 IPS |
|
|
Image Classification (I8)
|
99% |
2355
440.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
733
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
982
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5488
6.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
13933
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14179
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1096
81.8 IPS |
|
|
Object Detection (F16)
|
100% |
2430
181.4 IPS |
|
|
Object Detection (I8)
|
97% |
1351
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5816
69.2 IPS |
|
|
Face Detection (I8)
|
96% |
5824
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5261
40.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10759
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10903
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17597
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27728
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27058
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3287
117.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5209
186.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5177
184.9 IPS |
|
|
Text Classification (F32)
|
100% |
2197
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1320
24.3 IPS |
