MacBook Air (2022)
Geekbench AI Score
3294
Single Precision Score
27616
Half Precision Score
28670
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:07 PM |
| 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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
13747
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15898
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18547
300.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23247
376.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
106565
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104985
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
15885
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17059
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
34960
415.4 IPS |
|
|
Face Detection (Q)
|
100% |
43246
513.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82984
639.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111115
869.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16053
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205411
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191587
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41179
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44478
1.64 KIPS |
|
|
Text Classification (SP)
|
99% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3371
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4108
71.0 IPS |
