MacBook Pro (13-inch, 2022)
Geekbench ML Score
3818
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 18 2024 09:02 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.36 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% |
1295
242.4 IPS |
|
|
Image Classification (F16)
|
100% |
2381
445.5 IPS |
|
|
Image Classification (I8)
|
99% |
2331
436.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1014
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6223
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
13936
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14047
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1442
107.6 IPS |
|
|
Object Detection (F16)
|
100% |
2477
184.9 IPS |
|
|
Object Detection (I8)
|
97% |
1444
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5881
69.9 IPS |
|
|
Face Detection (I8)
|
97% |
5815
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5505
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11661
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11748
91.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18113
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26892
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27070
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4189
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5050
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5009
178.9 IPS |
|
|
Text Classification (F32)
|
100% |
1970
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3272
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3359
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1272
23.4 IPS |
