MacBook Air (2022)
Geekbench AI Score
2978
Single Precision Score
25010
Half Precision Score
28379
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:22 AM |
| Views | 8 |
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% |
1240
230.6 IPS |
|
|
Image Classification (HP)
|
100% |
14012
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15766
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19090
309.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24050
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5799
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
104894
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
98878
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
99% |
15074
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
15596
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
31958
379.7 IPS |
|
|
Face Detection (Q)
|
100% |
38804
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4476
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85824
661.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
105106
822.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13728
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202690
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173336
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34578
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38069
1.41 KIPS |
|
|
Text Classification (SP)
|
99% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3490
60.3 IPS |
