MacBook Air (2022)
Geekbench AI Score
3338
Single Precision Score
27723
Half Precision Score
30678
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:13 AM |
| Views | 12 |
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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
13629
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15397
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19228
311.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23975
388.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105875
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105642
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
15495
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17462
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34486
409.8 IPS |
|
|
Face Detection (Q)
|
100% |
46144
548.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86801
668.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110367
863.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17143
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203362
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187097
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41482
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44011
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6429
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4023
69.5 IPS |
