MacBook Pro (13-inch, 2022)
Geekbench ML Score
3897
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2024 08:21 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.06 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% |
1369
256.3 IPS |
|
|
Image Classification (F16)
|
100% |
2482
464.4 IPS |
|
|
Image Classification (I8)
|
99% |
1899
355.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
903
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1195
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6638
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14386
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14393
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1468
109.6 IPS |
|
|
Object Detection (F16)
|
100% |
2486
185.6 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5949
70.7 IPS |
|
|
Face Detection (I8)
|
97% |
5900
70.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5693
44.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11733
91.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11741
91.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18477
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28114
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28051
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4218
150.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5015
179.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4973
177.6 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3181
4.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3257
4.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1652
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
