MacBook Pro (13-inch, 2022)
Geekbench ML Score
3800
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 16 2024 08:44 PM |
| Views | 2 |
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% |
1315
246.0 IPS |
|
|
Image Classification (F16)
|
100% |
2398
448.8 IPS |
|
|
Image Classification (I8)
|
99% |
2368
443.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1003
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6258
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
13822
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13306
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
2474
184.7 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5710
67.9 IPS |
|
|
Face Detection (I8)
|
97% |
5790
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5440
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11175
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11514
89.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18014
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26858
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26874
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4171
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4955
177.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4944
176.6 IPS |
|
|
Text Classification (F32)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3288
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3336
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
