MacBook Pro (13-inch, 2022)
Geekbench ML Score
3704
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 08 2025 04:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.46 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% |
1275
238.6 IPS |
|
|
Image Classification (F16)
|
100% |
2034
380.6 IPS |
|
|
Image Classification (I8)
|
99% |
2071
387.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1085
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1035
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6031
7.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
14235
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14280
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1274
95.1 IPS |
|
|
Object Detection (F16)
|
100% |
2296
171.4 IPS |
|
|
Object Detection (I8)
|
97% |
1400
104.5 IPS |
|
|
Face Detection (F32)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5431
64.6 IPS |
|
|
Face Detection (I8)
|
96% |
5730
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5330
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10322
80.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10663
82.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18046
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28551
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28060
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4020
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5119
182.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5170
184.6 IPS |
|
|
Text Classification (F32)
|
100% |
1938
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3362
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3403
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1623
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1379
25.4 IPS |
