MacBook Air (2022)
Geekbench AI Score
5574
Single Precision Score
6579
Half Precision Score
5309
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 2.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3417
635.4 IPS |
|
|
Image Classification (HP)
|
100% |
3559
661.8 IPS |
|
|
Image Classification (Q)
|
97% |
1700
317.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3902
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4905
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24478
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26131
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24063
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (Q)
|
91% |
2041
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10747
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7768
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15730
121.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17466
134.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13522
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40622
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47724
61.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44257
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8079
298.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9512
351.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6274
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
669
11.6 IPS |
