MacBook Pro (13-inch, 2022)
Geekbench ML Score
3810
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 28 2024 08:33 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 | 3.43 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% |
1235
231.1 IPS |
|
|
Image Classification (F16)
|
100% |
2137
400.0 IPS |
|
|
Image Classification (I8)
|
99% |
2103
393.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1173
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1053
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6280
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13863
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13624
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1447
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
2494
186.2 IPS |
|
|
Object Detection (I8)
|
97% |
1464
109.3 IPS |
|
|
Face Detection (F32)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (F16)
|
97% |
6016
71.5 IPS |
|
|
Face Detection (I8)
|
97% |
5967
70.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5648
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11326
87.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11352
88.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18167
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26860
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27239
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4209
150.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5034
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4970
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3225
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3229
4.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1337
24.6 IPS |
