MacBook Pro (13-inch, 2022)
Geekbench ML Score
3804
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 26 2024 05:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.35 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% |
1297
242.7 IPS |
|
|
Image Classification (F16)
|
100% |
2114
395.5 IPS |
|
|
Image Classification (I8)
|
99% |
2384
446.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1030
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1029
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6284
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
13993
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14094
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
2486
185.6 IPS |
|
|
Object Detection (I8)
|
97% |
1453
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (F16)
|
97% |
5916
70.3 IPS |
|
|
Face Detection (I8)
|
97% |
5597
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5538
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11669
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11645
90.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18093
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26876
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26826
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5002
178.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5001
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2025
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3313
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3364
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1642
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.4 IPS |
