MacBook Pro (13-inch, 2022)
Geekbench ML Score
3535
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 04:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.45 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% |
1190
222.8 IPS |
|
|
Image Classification (F16)
|
100% |
2284
427.5 IPS |
|
|
Image Classification (I8)
|
99% |
2282
427.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
788
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6193
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
11740
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11109
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
1509
112.6 IPS |
|
|
Object Detection (I8)
|
97% |
1262
94.2 IPS |
|
|
Face Detection (F32)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
5571
66.2 IPS |
|
|
Face Detection (I8)
|
96% |
5306
63.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5408
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10839
84.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10969
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15586
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28498
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28508
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5303
189.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5104
182.3 IPS |
|
|
Text Classification (F32)
|
100% |
2034
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3403
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1259
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1376
25.3 IPS |
