MacBook Pro (13-inch, 2022)
Geekbench ML Score
3147
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 25 2025 06:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.10 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% |
1088
203.6 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.5 IPS |
|
|
Image Classification (I8)
|
99% |
2062
385.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
578
9.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
928
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5103
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
10127
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12299
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
973
72.6 IPS |
|
|
Object Detection (F16)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (I8)
|
97% |
1176
87.8 IPS |
|
|
Face Detection (F32)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (F16)
|
97% |
5354
63.7 IPS |
|
|
Face Detection (I8)
|
96% |
5385
64.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5025
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10469
81.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9550
74.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15298
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26896
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28314
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2726
97.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2932
104.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5024
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2177
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3276
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3393
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
941
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
924
17.0 IPS |
