MacBook Pro (13-inch, 2022)
Geekbench ML Score
3767
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.17 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% |
1201
224.8 IPS |
|
|
Image Classification (F16)
|
100% |
2316
433.3 IPS |
|
|
Image Classification (I8)
|
99% |
2305
431.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6332
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
14055
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13700
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1419
105.9 IPS |
|
|
Object Detection (F16)
|
100% |
2483
185.4 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
5835
69.4 IPS |
|
|
Face Detection (I8)
|
97% |
5071
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5330
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10344
80.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11748
91.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18206
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26884
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27184
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4227
151.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5142
183.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5089
181.8 IPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3252
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3243
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1320
24.3 IPS |
