MacBook Air (2022)
Geekbench AI Score
3323
Single Precision Score
27350
Half Precision Score
29845
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:36 PM |
| Views | 6 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
13690
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15344
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19281
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23472
380.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5993
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106299
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
90899
106.5 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
99% |
15518
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
14361
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34392
408.7 IPS |
|
|
Face Detection (Q)
|
100% |
45771
543.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5098
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81562
628.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110519
864.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17112
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198301
254.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192895
248.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42175
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46807
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4050
70.0 IPS |
