MacBook Air (2022)
Geekbench AI Score
5581
Single Precision Score
5607
Half Precision Score
1867
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3281
610.3 IPS |
|
|
Image Classification (HP)
|
100% |
3151
586.0 IPS |
|
|
Image Classification (Q)
|
97% |
2336
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3538
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4180
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19703
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21218
24.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
19399
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (Q)
|
92% |
2448
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
8958
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
9906
117.7 IPS |
|
|
Face Detection (Q)
|
100% |
6665
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13559
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14405
111.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35840
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40053
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36812
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7709
284.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8292
306.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6284
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.9 IPS |
|
|
Text Classification (Q)
|
93% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
