MacBook Air (2022)
Geekbench AI Score
3266
Single Precision Score
27576
Half Precision Score
30944
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:08 AM |
| 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 | 3.46 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% |
14165
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15374
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19370
314.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24056
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5771
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
105346
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106732
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15605
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17872
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
34664
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
47032
558.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87592
674.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111358
871.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16774
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201230
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189722
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40560
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48117
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6097
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3915
67.7 IPS |
