MacBook Pro (13-inch, 2022)
Geekbench ML Score
2989
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 05:54 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.30 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% |
953
178.3 IPS |
|
|
Image Classification (F16)
|
100% |
2009
375.9 IPS |
|
|
Image Classification (I8)
|
99% |
1863
348.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
730
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
792
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4782
5.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
12111
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13089
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1240
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
2083
155.5 IPS |
|
|
Object Detection (I8)
|
97% |
1063
79.3 IPS |
|
|
Face Detection (F32)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (F16)
|
97% |
3141
37.3 IPS |
|
|
Face Detection (I8)
|
96% |
4885
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4532
35.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9048
70.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9699
75.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14001
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23116
30.4 IPS |
|
|
Style Transfer (I8)
|
100% |
25597
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3397
121.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4171
149.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3701
132.2 IPS |
|
|
Text Classification (F32)
|
100% |
1422
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1590
2.28 KIPS |
|
|
Text Classification (I8)
|
96% |
2787
4.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1214
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
987
18.2 IPS |
