MacBook Pro (13-inch, 2022)
Geekbench ML Score
3692
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 21 2025 04:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.30 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% |
1308
244.7 IPS |
|
|
Image Classification (F16)
|
100% |
2305
431.4 IPS |
|
|
Image Classification (I8)
|
99% |
2282
427.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
697
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
972
16.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1026
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6299
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
14483
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14466
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1349
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
2171
162.1 IPS |
|
|
Object Detection (I8)
|
97% |
1440
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5521
65.6 IPS |
|
|
Face Detection (I8)
|
97% |
5475
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5499
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10803
83.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10734
83.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17412
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28416
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28363
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4131
147.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5098
182.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4140
147.9 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3488
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3482
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1242
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1471
27.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1192
21.9 IPS |
