MacBook Air (2022)
Geekbench AI Score
868
Single Precision Score
13429
Half Precision Score
13289
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:51 PM |
| Views | 11 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
7349
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
7856
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13661
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15703
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
27274
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25735
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
99% |
3975
316.2 IPS |
|
|
Object Detection (Q)
|
89% |
2807
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
9896
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
12995
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1112
8.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
24577
189.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
30908
241.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2412
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
94809
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
86775
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37462
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29093
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6280
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3028
52.3 IPS |
