MacBook Air (2022)
Geekbench AI Score
3215
Single Precision Score
27550
Half Precision Score
30782
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:09 AM |
| 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 | 3.44 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% |
13952
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15256
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19458
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24080
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5772
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
104914
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105088
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
15632
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17550
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
34183
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
46250
549.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4936
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86291
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109884
859.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16098
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202986
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191616
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41660
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49283
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
3958
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6154
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3842
66.4 IPS |
