MacBook Pro (13-inch, 2022)
Geekbench ML Score
3728
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 27 2025 04:43 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 | 3.45 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% |
1284
240.3 IPS |
|
|
Image Classification (F16)
|
100% |
2410
450.9 IPS |
|
|
Image Classification (I8)
|
99% |
2384
446.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1100
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6018
7.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
14334
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14126
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1257
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
2306
172.2 IPS |
|
|
Object Detection (I8)
|
97% |
1265
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
5719
68.0 IPS |
|
|
Face Detection (I8)
|
96% |
5716
68.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5310
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10815
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10838
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16661
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26984
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27530
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3836
137.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5170
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4972
177.6 IPS |
|
|
Text Classification (F32)
|
100% |
2070
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3493
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1312
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1351
24.9 IPS |
