MacBook Air (2022)
Geekbench AI Score
3078
Single Precision Score
26039
Half Precision Score
30155
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:00 PM |
| Views | 10 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
13626
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15372
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18948
307.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
103573
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103214
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (HP)
|
99% |
15650
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17445
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
33821
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
44990
534.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5027
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86319
665.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110077
861.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16493
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201792
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189399
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40113
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40668
1.50 KIPS |
|
|
Text Classification (SP)
|
99% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
