MacBook Pro (13-inch, 2022)
Geekbench ML Score
3872
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 04:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
1264
236.5 IPS |
|
|
Image Classification (F16)
|
100% |
2334
436.7 IPS |
|
|
Image Classification (I8)
|
99% |
2379
445.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1154
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6338
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
14339
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14311
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2459
183.6 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5849
69.5 IPS |
|
|
Face Detection (I8)
|
97% |
5793
68.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5194
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9684
75.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10934
84.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18162
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28722
37.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27960
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4054
144.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5346
190.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5350
191.0 IPS |
|
|
Text Classification (F32)
|
100% |
2212
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
3567
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3564
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1367
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1356
25.0 IPS |
