MacBook Air (2022)
Geekbench AI Score
3357
Single Precision Score
27089
Half Precision Score
30854
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:55 PM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
13702
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15840
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19633
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23488
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
99227
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
98810
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
15752
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17031
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34857
414.2 IPS |
|
|
Face Detection (Q)
|
100% |
46957
558.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5138
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87350
673.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109880
859.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17463
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202558
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188827
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40788
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48433
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6323
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6270
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4222
73.0 IPS |
