MacBook Air (2022)
Geekbench ML Score
3302
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 17 2024 12:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.01 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1093
204.4 IPS |
|
|
Image Classification (F16)
|
100% |
1534
287.1 IPS |
|
|
Image Classification (I8)
|
99% |
1622
303.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
704
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
781
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5383
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
13937
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13795
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
2002
149.5 IPS |
|
|
Object Detection (I8)
|
97% |
1447
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (F16)
|
97% |
4147
49.3 IPS |
|
|
Face Detection (I8)
|
97% |
4115
48.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5067
39.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8552
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8517
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16308
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26533
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25903
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3773
134.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5083
181.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5093
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2882
4.14 KIPS |
|
|
Text Classification (I8)
|
96% |
2843
4.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1272
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1503
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1242
22.9 IPS |
