MacBook Air (2022)
Geekbench AI Score
3326
Single Precision Score
26715
Half Precision Score
30787
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:52 PM |
| Views | 5 |
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% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
13849
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15241
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19154
310.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23014
373.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5904
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
106655
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105657
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
15950
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17799
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
33217
394.7 IPS |
|
|
Face Detection (Q)
|
100% |
46346
550.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79986
616.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
112222
877.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17157
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
186154
239.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191293
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41669
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44962
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4072
70.4 IPS |
