MacBook Pro (13-inch, 2022)
Geekbench ML Score
3347
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 06:10 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1050
196.5 IPS |
|
|
Image Classification (F16)
|
100% |
1991
372.6 IPS |
|
|
Image Classification (I8)
|
99% |
1928
360.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
666
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
848
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4798
5.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
10880
13.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13766
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1180
88.1 IPS |
|
|
Object Detection (F16)
|
100% |
2162
161.4 IPS |
|
|
Object Detection (I8)
|
97% |
1252
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (F16)
|
97% |
4875
58.0 IPS |
|
|
Face Detection (I8)
|
97% |
4575
54.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5230
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10313
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9646
74.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14163
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
22966
30.2 IPS |
|
|
Style Transfer (I8)
|
100% |
24784
32.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4028
143.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5182
185.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5215
186.2 IPS |
|
|
Text Classification (F32)
|
100% |
2056
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3132
4.50 KIPS |
|
|
Text Classification (I8)
|
96% |
3064
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
