MacBook Pro (13-inch, 2022)
Geekbench ML Score
3711
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 02 2026 07:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.10 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% |
1193
223.2 IPS |
|
|
Image Classification (F16)
|
100% |
2116
396.1 IPS |
|
|
Image Classification (I8)
|
99% |
1597
298.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
633
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
924
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1005
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4829
5.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14225
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13706
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1141
85.2 IPS |
|
|
Object Detection (F16)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (I8)
|
97% |
1238
92.5 IPS |
|
|
Face Detection (F32)
|
100% |
2613
31.1 IPS |
|
|
Face Detection (F16)
|
97% |
5159
61.3 IPS |
|
|
Face Detection (I8)
|
96% |
5622
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5172
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9989
77.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10164
78.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16048
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28515
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28415
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3628
129.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5000
178.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5286
188.8 IPS |
|
|
Text Classification (F32)
|
100% |
3825
5.50 KIPS |
|
|
Text Classification (F16)
|
100% |
5842
8.40 KIPS |
|
|
Text Classification (I8)
|
96% |
5728
8.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
