MacBook Air (2022)
Geekbench AI Score
3301
Single Precision Score
27386
Half Precision Score
30514
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:02 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
13063
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
15326
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19133
310.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23579
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106397
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105586
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
15461
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17505
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34158
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
45886
545.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85392
657.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
109414
855.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17163
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202198
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187045
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41372
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45027
1.66 KIPS |
|
|
Text Classification (SP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6245
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6335
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3912
67.6 IPS |
