MacBook Air (2022)
Geekbench AI Score
6380
Single Precision Score
7136
Half Precision Score
6147
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dilawar599 |
| Upload Date | August 21 2025 05:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
3303
614.3 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.6 IPS |
|
|
Image Classification (Q)
|
99% |
3163
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4870
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4930
79.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4937
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19887
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21906
25.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
20992
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (Q)
|
92% |
3010
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
9166
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
10331
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
8587
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13646
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15257
117.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
5224
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35915
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40587
52.2 IPS |
|
|
Style Transfer (Q)
|
100% |
40563
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7861
290.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8460
312.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7354
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1546
26.7 IPS |
