MacBook Air (2022)
Geekbench AI Score
2033
Single Precision Score
11759
Half Precision Score
12528
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jamiesmithnc |
| Upload Date | August 16 2024 12:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1162
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
7144
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7656
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5054
81.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5082
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
86724
101.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
88030
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
99% |
8373
666.0 IPS |
|
|
Object Detection (Q)
|
93% |
8855
706.6 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
11320
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
12976
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3716
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46741
360.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
52844
408.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10648
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138329
177.8 IPS |
|
|
Style Transfer (Q)
|
100% |
139146
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19095
705.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24442
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.0 IPS |
|
|
Text Classification (HP)
|
100% |
577
770.3 IPS |
|
|
Text Classification (Q)
|
93% |
573
769.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2350
40.6 IPS |
