MacBook Pro (13-inch, 2022)
Geekbench ML Score
3617
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2025 06:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.48 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% |
1303
243.8 IPS |
|
|
Image Classification (F16)
|
100% |
2465
461.4 IPS |
|
|
Image Classification (I8)
|
99% |
2469
462.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1201
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6461
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
14239
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14384
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2477
184.9 IPS |
|
|
Object Detection (I8)
|
97% |
1171
87.4 IPS |
|
|
Face Detection (F32)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5192
61.7 IPS |
|
|
Face Detection (I8)
|
97% |
3228
38.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5100
39.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10713
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10155
78.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16146
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26700
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27162
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2610
93.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3455
123.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5058
180.6 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3554
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3514
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1566
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1238
22.8 IPS |
