MacBook Pro (13-inch, 2022)
Geekbench ML Score
3816
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 06 2024 05:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1309
244.9 IPS |
|
|
Image Classification (F16)
|
100% |
2336
437.1 IPS |
|
|
Image Classification (I8)
|
99% |
2326
435.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1040
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6289
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13920
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13996
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1442
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
2494
186.2 IPS |
|
|
Object Detection (I8)
|
97% |
1476
110.2 IPS |
|
|
Face Detection (F32)
|
100% |
3158
37.6 IPS |
|
|
Face Detection (F16)
|
97% |
5979
71.1 IPS |
|
|
Face Detection (I8)
|
97% |
5661
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5474
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11506
89.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10839
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17888
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26884
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27068
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4192
149.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5019
179.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5015
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3183
4.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3423
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
