MacBook Air (2022)
Geekbench ML Score
4119
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 17 2024 12:54 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 | 3.38 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2990
559.5 IPS |
|
|
Image Classification (F16)
|
100% |
3096
579.3 IPS |
|
|
Image Classification (I8)
|
99% |
2796
523.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1132
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18501
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
20094
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
19705
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
2588
193.2 IPS |
|
|
Object Detection (F16)
|
100% |
2646
197.5 IPS |
|
|
Object Detection (I8)
|
97% |
2318
173.0 IPS |
|
|
Face Detection (F32)
|
100% |
8187
97.3 IPS |
|
|
Face Detection (F16)
|
98% |
8774
104.3 IPS |
|
|
Face Detection (I8)
|
97% |
8637
102.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13527
104.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14570
113.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
13203
102.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34923
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
38256
50.3 IPS |
|
|
Style Transfer (I8)
|
100% |
38262
50.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4851
173.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6184
220.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6745
240.9 IPS |
|
|
Text Classification (F32)
|
100% |
548
788.1 IPS |
|
|
Text Classification (F16)
|
100% |
484
695.4 IPS |
|
|
Text Classification (I8)
|
96% |
585
840.6 IPS |
|
|
Machine Translation (F32)
|
100% |
650
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
657
12.1 IPS |
|
|
Machine Translation (I8)
|
99% |
595
10.9 IPS |
