MacBook Air (2022)
Geekbench AI Score
3321
Single Precision Score
27784
Half Precision Score
30671
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
14478
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
15177
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19211
311.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105354
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105399
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
15649
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17768
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
34503
410.0 IPS |
|
|
Face Detection (Q)
|
100% |
46415
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5125
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85586
659.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110464
864.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17143
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200128
257.3 IPS |
|
|
Style Transfer (Q)
|
96% |
188126
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41682
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43750
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4014
69.4 IPS |
