MacBook Pro (13-inch, 2022)
Geekbench ML Score
3371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2025 06:28 PM |
| Views | 4 |
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 | 3.47 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% |
1357
253.9 IPS |
|
|
Image Classification (F16)
|
100% |
2376
444.6 IPS |
|
|
Image Classification (I8)
|
99% |
2362
441.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1079
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1109
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6145
7.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
14580
17.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14490
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1429
106.7 IPS |
|
|
Object Detection (F16)
|
100% |
1780
132.9 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
3816
45.4 IPS |
|
|
Face Detection (I8)
|
97% |
5691
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5191
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10827
84.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7915
61.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18128
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28321
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28358
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2463
88.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2537
90.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2500
89.3 IPS |
|
|
Text Classification (F32)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3615
5.20 KIPS |
|
|
Text Classification (I8)
|
96% |
3658
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1307
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1379
25.4 IPS |
