MacBook Pro (13-inch, 2022)
Geekbench ML Score
3847
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 06:38 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 | 3.28 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% |
1292
241.8 IPS |
|
|
Image Classification (F16)
|
100% |
2366
442.7 IPS |
|
|
Image Classification (I8)
|
99% |
2390
447.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1077
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6377
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
14020
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13802
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1419
105.9 IPS |
|
|
Object Detection (F16)
|
100% |
2473
184.6 IPS |
|
|
Object Detection (I8)
|
97% |
1436
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
3032
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5838
69.4 IPS |
|
|
Face Detection (I8)
|
97% |
5829
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5510
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11629
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11664
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18208
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27205
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27342
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4245
151.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5078
181.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5131
183.2 IPS |
|
|
Text Classification (F32)
|
100% |
1961
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3266
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3378
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1394
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
