MacBook Pro (13-inch, 2022)
Geekbench ML Score
3782
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 07:17 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1271
237.9 IPS |
|
|
Image Classification (F16)
|
100% |
2271
425.0 IPS |
|
|
Image Classification (I8)
|
99% |
2264
423.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1011
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6271
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
13935
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13860
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
2473
184.6 IPS |
|
|
Object Detection (I8)
|
97% |
1430
106.7 IPS |
|
|
Face Detection (F32)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5857
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5358
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5619
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11663
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11670
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18065
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27046
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27738
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3809
136.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5059
180.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4978
177.8 IPS |
|
|
Text Classification (F32)
|
100% |
2014
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3411
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3417
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1280
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1499
27.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
