MacBook Air (2022)
Geekbench AI Score
3441
Single Precision Score
28070
Half Precision Score
30997
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 10:11 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
14352
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
15579
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19459
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24603
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6104
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
104020
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104801
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
15561
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17485
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
34806
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
46815
556.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5290
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87621
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110889
867.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17613
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201746
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191637
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42109
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43963
1.62 KIPS |
|
|
Text Classification (SP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4219
72.9 IPS |
