MacBook Pro (13-inch, 2022)
Geekbench ML Score
3797
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2024 06:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1206
225.6 IPS |
|
|
Image Classification (F16)
|
100% |
2360
441.6 IPS |
|
|
Image Classification (I8)
|
99% |
2383
446.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1002
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6251
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
13933
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13979
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1438
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
2458
183.5 IPS |
|
|
Object Detection (I8)
|
97% |
1419
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5778
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5689
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5350
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11615
90.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11601
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18027
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27206
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27555
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4189
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5012
179.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5023
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
1962
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3293
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1642
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
