MacBook Air (2022)
Geekbench AI Score
3222
Single Precision Score
4774
Half Precision Score
4084
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.4 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1865
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14678
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12709
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2814
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8642
66.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6500
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17307
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27075
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22744
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3178
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4597
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4501
77.8 IPS |
