MacBook Air (2022)
Geekbench AI Score
3305
Single Precision Score
26785
Half Precision Score
29203
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TTV |
| Upload Date | October 31 2025 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
15083
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
14942
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20101
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24155
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
103888
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105125
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15812
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17965
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34236
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
44155
524.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87483
674.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106473
832.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18102
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202179
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
196455
253.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39170
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41570
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4437
76.7 IPS |
