MacBook Air (2022)
Geekbench AI Score
2859
Single Precision Score
26323
Half Precision Score
28684
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:36 AM |
| Views | 7 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
13367
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
15099
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18332
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22563
365.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
93682
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
92920
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
99% |
15564
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17804
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
33441
397.4 IPS |
|
|
Face Detection (Q)
|
100% |
45095
535.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3594
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73497
566.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
98636
771.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15132
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
198803
255.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188162
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3370
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41468
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43229
1.60 KIPS |
|
|
Text Classification (SP)
|
99% |
4211
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6283
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2943
50.9 IPS |
