MacBook Air (2022)
Geekbench AI Score
3449
Single Precision Score
26217
Half Precision Score
29010
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | November 16 2024 11:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14064
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15383
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19358
313.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24095
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105910
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104804
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
15374
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17598
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33472
397.7 IPS |
|
|
Face Detection (Q)
|
100% |
42236
501.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87347
673.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107954
843.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204605
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192020
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40441
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47932
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4104
70.9 IPS |
