MacBook Air (2022)
Geekbench AI Score
3167
Single Precision Score
27259
Half Precision Score
30681
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:12 AM |
| 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
13596
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15121
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18764
304.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23594
382.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6059
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
102574
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102661
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
14501
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
17166
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
32980
391.9 IPS |
|
|
Face Detection (Q)
|
100% |
44443
528.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4928
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86873
669.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111895
875.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17004
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203637
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191803
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42609
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49911
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4009
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4046
69.9 IPS |
