MacBook Air (2022)
Geekbench AI Score
3139
Single Precision Score
26861
Half Precision Score
29142
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:54 AM |
| 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 | 3.43 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% |
13961
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
14058
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16087
260.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24256
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105404
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105597
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
15609
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
18178
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
34360
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
46037
547.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4987
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86922
669.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111576
872.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16505
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205686
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190816
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41931
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45836
1.69 KIPS |
|
|
Text Classification (SP)
|
99% |
4114
5.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2673
46.2 IPS |
