MacBook Air (2022)
Geekbench AI Score
5812
Single Precision Score
6478
Half Precision Score
5651
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 12:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (Q)
|
97% |
2717
507.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4287
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19901
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21334
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19900
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (Q)
|
91% |
2693
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
9376
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10373
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
7165
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13744
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14496
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12282
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36218
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40345
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37722
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7921
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8371
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6623
244.6 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3831
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
632
10.9 IPS |
