MacBook Air (2022)
Geekbench AI Score
3350
Single Precision Score
27966
Half Precision Score
31154
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:12 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
13996
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15400
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19339
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24543
397.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6038
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
106734
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105561
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
15231
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17817
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
34753
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
46687
554.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86519
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109848
859.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17397
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202056
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187599
242.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3595
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42753
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48804
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6361
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6403
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4026
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4030
69.6 IPS |
