MacBook Air (2022)
Geekbench AI Score
2244
Single Precision Score
15356
Half Precision Score
16368
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | August 17 2024 09:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
10924
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
11475
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7102
115.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7095
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4132
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
66089
77.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64597
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
99% |
11157
887.5 IPS |
|
|
Object Detection (Q)
|
91% |
11836
945.8 IPS |
|
|
Face Detection (SP)
|
100% |
2182
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
17504
208.0 IPS |
|
|
Face Detection (Q)
|
100% |
25949
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3571
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53105
409.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
55518
429.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11630
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122695
157.7 IPS |
|
|
Style Transfer (Q)
|
100% |
123077
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2639
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29118
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
33192
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2290
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
