MacBook Air (2022)
Geekbench AI Score
3455
Single Precision Score
5930
Half Precision Score
4802
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | FFALQURASHI |
| Upload Date | April 11 2025 06:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.2 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2836
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14799
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12721
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2847
226.7 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3447
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11601
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7991
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18656
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28368
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23664
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4028
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5760
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5718
98.8 IPS |
