MacBook Air (2022)
Geekbench AI Score
6440
Single Precision Score
7157
Half Precision Score
6945
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3335
620.1 IPS |
|
|
Image Classification (HP)
|
100% |
3193
593.8 IPS |
|
|
Image Classification (Q)
|
94% |
3070
573.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4890
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4969
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19802
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21945
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21242
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
2943
233.4 IPS |
|
|
Object Detection (Q)
|
91% |
3169
253.2 IPS |
|
|
Face Detection (SP)
|
100% |
8868
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
10838
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
9896
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13282
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14481
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13638
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36128
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40970
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39543
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7704
284.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8437
311.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7269
268.4 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1741
30.1 IPS |
