MacBook Air (2022)
Geekbench AI Score
3321
Single Precision Score
28215
Half Precision Score
30981
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:26 PM |
| Views | 10 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
14419
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
15174
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19558
317.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24451
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
106613
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106055
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.6 IPS |
|
|
Object Detection (HP)
|
99% |
15797
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17927
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
34783
413.3 IPS |
|
|
Face Detection (Q)
|
100% |
46636
554.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86156
663.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109918
859.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17356
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202763
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188827
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41875
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44166
1.63 KIPS |
|
|
Text Classification (SP)
|
99% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6702
8.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6526
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4140
71.5 IPS |
