MacBook Air (2022)
Geekbench AI Score
3436
Single Precision Score
26491
Half Precision Score
29173
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
14914
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
14869
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19498
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23715
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
103178
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106529
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15596
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17203
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
32988
392.0 IPS |
|
|
Face Detection (Q)
|
100% |
42483
504.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85492
658.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108063
844.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18616
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201200
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188505
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39363
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47300
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4427
76.5 IPS |
