MacBook Pro (13-inch, 2022)
Geekbench ML Score
3440
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2025 07:10 PM |
| Views | 7 |
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 | 3.30 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% |
928
173.6 IPS |
|
|
Image Classification (F16)
|
100% |
2122
397.1 IPS |
|
|
Image Classification (I8)
|
99% |
2164
404.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
670
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
997
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
940
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5643
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
12774
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13211
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1129
84.3 IPS |
|
|
Object Detection (F16)
|
100% |
2054
153.3 IPS |
|
|
Object Detection (I8)
|
97% |
1244
92.8 IPS |
|
|
Face Detection (F32)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (F16)
|
97% |
4460
53.0 IPS |
|
|
Face Detection (I8)
|
97% |
4968
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5127
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10223
79.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10299
79.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17774
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
24678
32.5 IPS |
|
|
Style Transfer (I8)
|
100% |
22920
30.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4077
145.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5214
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5295
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
2021
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3375
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
2943
4.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1551
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1309
24.1 IPS |
