MacBook Air (2022)
Geekbench AI Score
3231
Single Precision Score
27254
Half Precision Score
30554
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 06:33 PM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
13261
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15340
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19252
312.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24051
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
106550
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105135
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
15913
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17711
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
32889
390.8 IPS |
|
|
Face Detection (Q)
|
100% |
42917
510.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5068
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86291
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111747
874.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16958
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201581
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191366
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41414
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48367
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3813
65.9 IPS |
