MacBook Air (2022)
Geekbench AI Score
3339
Single Precision Score
26647
Half Precision Score
30158
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:11 PM |
| Views | 12 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
13865
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15706
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18707
303.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23403
379.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5973
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
98931
115.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
99758
116.9 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
13641
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
16104
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
28600
339.8 IPS |
|
|
Face Detection (Q)
|
100% |
42080
500.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83365
642.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
106280
831.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17385
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201531
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
183337
236.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42152
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48550
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4146
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4107
71.0 IPS |
