MacBook Air (2022)
Geekbench AI Score
3252
Single Precision Score
4840
Half Precision Score
4006
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | hlovatt |
| Upload Date | August 18 2024 12:06 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
99% |
1930
359.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1313
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14625
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12544
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2295
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1759
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2918
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8618
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4221
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17296
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27180
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27198
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3590
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (Q)
|
93% |
3458
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4581
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4583
79.2 IPS |
