MacBook Pro (13-inch, 2022)
Geekbench ML Score
3814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2024 07:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1357
253.8 IPS |
|
|
Image Classification (F16)
|
100% |
2405
450.0 IPS |
|
|
Image Classification (I8)
|
99% |
2356
440.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1110
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6387
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
13931
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13933
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
2332
174.1 IPS |
|
|
Object Detection (I8)
|
97% |
1382
103.2 IPS |
|
|
Face Detection (F32)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5818
69.2 IPS |
|
|
Face Detection (I8)
|
97% |
5852
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5682
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10939
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11415
88.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18254
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28243
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27937
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4111
146.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4875
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4997
178.4 IPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3371
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3351
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1579
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1382
25.4 IPS |
