MacBook Air (2022)
Geekbench AI Score
3179
Single Precision Score
27089
Half Precision Score
30942
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 12:02 PM |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
13405
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
15770
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18289
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24158
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5818
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
100035
116.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104708
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (HP)
|
99% |
15101
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
16441
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
32877
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
43481
516.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4883
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82855
638.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109622
857.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17297
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200932
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190619
246.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42421
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51389
1.90 KIPS |
|
|
Text Classification (SP)
|
99% |
4101
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6372
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4138
71.5 IPS |
