MacBook Air (2022)
Geekbench AI Score
5720
Single Precision Score
6314
Half Precision Score
5552
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:31 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3372
627.1 IPS |
|
|
Image Classification (HP)
|
100% |
3159
587.4 IPS |
|
|
Image Classification (Q)
|
97% |
2592
483.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4253
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4236
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19886
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21288
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19862
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (Q)
|
91% |
2634
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
9385
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
10327
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
7194
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14114
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14395
110.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11888
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36296
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40104
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37567
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7829
289.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8275
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6468
238.8 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3707
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
630
10.9 IPS |
