MacBook Pro (13-inch, 2022)
Geekbench ML Score
3797
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 04 2024 07:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.30 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% |
1314
246.0 IPS |
|
|
Image Classification (F16)
|
100% |
2373
444.0 IPS |
|
|
Image Classification (I8)
|
99% |
2378
445.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1130
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6266
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
13781
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13921
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
2438
182.0 IPS |
|
|
Object Detection (I8)
|
97% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
3033
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5684
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5849
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5341
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11715
90.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11630
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18084
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26811
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27072
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4194
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4975
177.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5016
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
1969
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3250
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3412
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1346
24.8 IPS |
