MacBook Air (2022)
Geekbench AI Score
3212
Single Precision Score
26327
Half Precision Score
29740
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:06 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
12872
2.39 KIPS |
|
|
Image Classification (Q)
|
97% |
15885
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19248
312.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23929
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
95170
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104075
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
15702
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16997
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
34087
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
45605
541.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4935
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71799
553.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
98659
771.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16397
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
196860
253.1 IPS |
|
|
Style Transfer (Q)
|
96% |
187055
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41931
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48873
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
3786
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3085
53.3 IPS |
