MacBook Air (2022)
Geekbench AI Score
3206
Single Precision Score
27660
Half Precision Score
30964
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:57 AM |
| Views | 11 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
13442
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
15270
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19204
311.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24063
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5826
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
104766
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105542
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
15923
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17617
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
33885
402.6 IPS |
|
|
Face Detection (Q)
|
100% |
45764
543.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5004
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87273
672.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109469
856.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16558
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203078
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192064
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42454
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50579
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3908
67.5 IPS |
