MacBook Pro (13-inch, 2022)
Geekbench ML Score
3778
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 09:37 AM |
| 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 | 3.46 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% |
1120
209.6 IPS |
|
|
Image Classification (F16)
|
100% |
2396
448.4 IPS |
|
|
Image Classification (I8)
|
99% |
2338
437.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
730
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1127
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6584
7.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
14448
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14319
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1388
103.7 IPS |
|
|
Object Detection (F16)
|
100% |
2311
172.5 IPS |
|
|
Object Detection (I8)
|
97% |
1400
104.5 IPS |
|
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
5737
68.2 IPS |
|
|
Face Detection (I8)
|
96% |
5767
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5498
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10942
84.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10447
81.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17689
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28297
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28330
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4090
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5100
182.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4936
176.3 IPS |
|
|
Text Classification (F32)
|
100% |
2171
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3363
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1370
25.2 IPS |
