MacBook Air (2022)
Geekbench AI Score
3326
Single Precision Score
27929
Half Precision Score
31087
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:04 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 | 3.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
14232
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
15907
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19296
312.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24533
397.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
106820
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105943
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
15950
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
18248
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
33749
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
46967
558.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84284
649.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111897
875.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
193962
249.3 IPS |
|
|
Style Transfer (Q)
|
96% |
184206
237.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44168
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45129
1.67 KIPS |
|
|
Text Classification (SP)
|
99% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6253
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4090
70.7 IPS |
