MacBook Pro (13-inch, 2022)
Geekbench ML Score
3807
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 23 2025 07:38 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 3.47 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% |
1143
213.8 IPS |
|
|
Image Classification (F16)
|
100% |
2102
393.4 IPS |
|
|
Image Classification (I8)
|
99% |
2404
449.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1136
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1140
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6590
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14553
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14667
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1344
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
2035
152.0 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5546
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5470
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5489
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10997
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11001
85.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17927
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28439
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28570
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4133
147.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5144
183.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5175
184.8 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1654
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1353
24.9 IPS |
