MacBook Air (2022)
Geekbench AI Score
3309
Single Precision Score
27791
Half Precision Score
31044
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:15 PM |
| Views | 9 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (HP)
|
100% |
13251
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
15113
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19282
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24352
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5993
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106589
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104229
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
15897
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17781
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34755
413.0 IPS |
|
|
Face Detection (Q)
|
100% |
46746
555.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5178
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84221
648.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112217
877.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16657
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204528
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191944
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41720
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51157
1.89 KIPS |
|
|
Text Classification (SP)
|
99% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3830
66.2 IPS |
