MacBook Pro (13-inch, 2022)
Geekbench ML Score
3714
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 05:04 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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% |
1303
243.8 IPS |
|
|
Image Classification (F16)
|
100% |
1726
323.1 IPS |
|
|
Image Classification (I8)
|
99% |
2219
415.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1087
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
969
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6054
7.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
14316
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14303
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1428
106.6 IPS |
|
|
Object Detection (F16)
|
100% |
2340
174.7 IPS |
|
|
Object Detection (I8)
|
97% |
1401
104.6 IPS |
|
|
Face Detection (F32)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5505
65.5 IPS |
|
|
Face Detection (I8)
|
97% |
5534
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5347
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10746
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10779
83.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17537
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27525
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27488
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3828
136.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5168
184.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5291
188.9 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3370
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3453
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.0 IPS |
