MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
26854
Half Precision Score
29734
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
13980
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16011
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19538
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22622
366.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5336
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
106316
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106272
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
15797
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17941
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34326
407.9 IPS |
|
|
Face Detection (Q)
|
100% |
43965
522.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87715
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109439
855.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17880
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205504
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
195210
251.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42086
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50033
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4294
74.2 IPS |
