MacBook Air (2022)
Geekbench AI Score
3089
Single Precision Score
27139
Half Precision Score
30467
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:34 AM |
| Views | 10 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
13860
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15178
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18525
300.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23737
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
105330
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103874
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
15568
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17516
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
34114
405.3 IPS |
|
|
Face Detection (Q)
|
100% |
44956
534.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4913
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84848
653.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110281
862.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15924
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200322
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189542
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42881
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49680
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6253
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3312
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3526
60.9 IPS |
