MacBook Air (2022)
Geekbench AI Score
2084
Single Precision Score
12118
Half Precision Score
13389
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 09:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1131
210.4 IPS |
|
|
Image Classification (HP)
|
100% |
7403
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
7657
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8114
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5917
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
89098
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89730
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
8387
667.2 IPS |
|
|
Object Detection (Q)
|
93% |
8827
704.3 IPS |
|
|
Face Detection (SP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
11610
137.9 IPS |
|
|
Face Detection (Q)
|
100% |
13089
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3794
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50150
386.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
58486
457.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10547
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
139241
179.0 IPS |
|
|
Style Transfer (Q)
|
95% |
128463
165.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3030
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19773
730.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25537
942.9 IPS |
|
|
Text Classification (SP)
|
100% |
688
917.9 IPS |
|
|
Text Classification (HP)
|
100% |
646
862.9 IPS |
|
|
Text Classification (Q)
|
93% |
632
848.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2372
41.0 IPS |
