MacBook Pro (13-inch, 2022)
Geekbench ML Score
3204
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 06:41 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.48 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% |
1266
237.0 IPS |
|
|
Image Classification (F16)
|
100% |
2409
450.7 IPS |
|
|
Image Classification (I8)
|
99% |
2255
421.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
985
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6066
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
12395
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12718
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (F16)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (I8)
|
97% |
1275
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5671
67.4 IPS |
|
|
Face Detection (I8)
|
96% |
4965
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3872
30.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7909
61.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
6418
49.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8221
10.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15364
20.2 IPS |
|
|
Style Transfer (I8)
|
100% |
25827
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3138
112.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5050
180.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5167
184.5 IPS |
|
|
Text Classification (F32)
|
100% |
2032
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3178
4.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3351
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1041
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1230
22.6 IPS |
|
|
Machine Translation (I8)
|
99% |
824
15.2 IPS |
