MacBook Air (2022)
Geekbench AI Score
3185
Single Precision Score
27788
Half Precision Score
30569
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:21 AM |
| Views | 9 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
13901
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15430
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18649
302.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23303
377.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4996
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
104827
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106421
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
15670
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17099
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
34796
413.5 IPS |
|
|
Face Detection (Q)
|
100% |
46341
550.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87520
674.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105302
823.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16027
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204590
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
183679
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3328
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42734
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50237
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4223
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3956
68.4 IPS |
