MacBook Air (2022)
Geekbench AI Score
4286
Single Precision Score
4334
Half Precision Score
4453
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2479
461.0 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.6 IPS |
|
|
Image Classification (Q)
|
94% |
2320
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3702
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15140
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17053
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16807
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (Q)
|
91% |
2074
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
6674
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
7224
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
6953
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9845
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10780
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9876
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17509
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9493
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12341
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2195
81.1 IPS |
|
|
Text Classification (SP)
|
99% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5051
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
