MacBook Air (2022)
Geekbench AI Score
3426
Single Precision Score
20954
Half Precision Score
22989
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 11:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
13535
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
14559
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9069
147.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
8995
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
101738
118.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
100660
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
14574
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
17390
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
23065
274.1 IPS |
|
|
Face Detection (Q)
|
100% |
34959
415.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74981
577.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
81831
632.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18678
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154374
198.5 IPS |
|
|
Style Transfer (Q)
|
100% |
156248
200.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39889
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46387
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3585
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3675
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
