MacBook Air (2022)
Geekbench AI Score
3320
Single Precision Score
26769
Half Precision Score
29409
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 04:03 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
15135
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
15522
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19650
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24179
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
105843
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105198
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15751
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17612
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34082
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
43536
517.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87595
674.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108041
844.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205326
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195594
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37621
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43425
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.3 IPS |
