MacBook Air (2022)
Geekbench AI Score
3354
Single Precision Score
5896
Half Precision Score
5139
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dilawar599 |
| Upload Date | August 21 2025 04:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.7 IPS |
|
|
Image Classification (Q)
|
99% |
2391
445.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2316
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6709
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15000
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12755
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1975
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5727
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3360
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10578
81.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10556
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17927
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28367
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28384
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3605
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6866
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6786
117.3 IPS |
