MacBook Air (2022)
Geekbench AI Score
6508
Single Precision Score
7182
Half Precision Score
5528
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | August 23 2024 10:55 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3562
662.4 IPS |
|
|
Image Classification (HP)
|
100% |
3457
642.8 IPS |
|
|
Image Classification (Q)
|
99% |
3109
579.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4024
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5021
81.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4879
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24601
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26228
30.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23715
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (HP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (Q)
|
91% |
2916
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
10443
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
8054
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16598
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17709
136.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
2783
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42758
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48476
62.3 IPS |
|
|
Style Transfer (Q)
|
100% |
48094
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9783
361.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9999
369.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7375
273.2 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3683
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
