MacBook Air (2022)
Geekbench AI Score
3327
Single Precision Score
27947
Half Precision Score
31418
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:34 PM |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
13622
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15785
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19311
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24549
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
106337
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104614
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
15792
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17956
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34694
412.2 IPS |
|
|
Face Detection (Q)
|
100% |
46724
555.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87094
671.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110867
867.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17299
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205253
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191255
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3595
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41421
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48835
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6392
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
