MacBook Air (2022)
Geekbench AI Score
3191
Single Precision Score
27373
Half Precision Score
30395
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:38 AM |
| Views | 6 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
13562
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15227
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18351
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23159
375.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5781
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
104180
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93361
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
15369
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17726
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
34234
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
45853
544.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5050
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86332
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109522
856.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
201141
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190422
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41970
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49480
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4028
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3674
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3814
65.9 IPS |
