MacBook Pro (13-inch, 2022)
Geekbench ML Score
3888
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 20 2025 08:33 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1384
259.1 IPS |
|
|
Image Classification (F16)
|
100% |
2473
462.8 IPS |
|
|
Image Classification (I8)
|
99% |
2475
463.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
859
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1109
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1120
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6559
7.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
14287
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13631
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (F16)
|
100% |
2471
184.4 IPS |
|
|
Object Detection (I8)
|
97% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5852
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5812
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5685
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11589
89.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11607
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18016
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27871
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28027
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4231
151.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5113
182.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5046
180.2 IPS |
|
|
Text Classification (F32)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1351
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
