MacBook Air (2022)
Geekbench AI Score
3440
Single Precision Score
27490
Half Precision Score
30414
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | November 04 2024 10:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14455
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15396
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19376
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23489
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
102646
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104720
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15239
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17250
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33663
400.0 IPS |
|
|
Face Detection (Q)
|
100% |
42346
503.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5648
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86549
666.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
105672
825.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201799
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189173
244.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39756
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47117
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6439
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.2 IPS |
