MacBook Pro (13-inch, 2022)
Geekbench ML Score
3777
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 04 2024 06:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1322
247.4 IPS |
|
|
Image Classification (F16)
|
100% |
2395
448.1 IPS |
|
|
Image Classification (I8)
|
99% |
2303
431.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
745
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1115
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6529
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
13876
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13953
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1359
101.5 IPS |
|
|
Object Detection (F16)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (I8)
|
97% |
1361
101.6 IPS |
|
|
Face Detection (F32)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5776
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5855
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5607
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11720
90.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11214
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17516
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27714
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27911
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4189
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4794
171.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4778
170.6 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3326
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1379
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1570
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1376
25.3 IPS |
