MacBook Air (2022)
Geekbench AI Score
3203
Single Precision Score
4791
Half Precision Score
3972
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 05:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6116
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14428
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12308
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1748
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2845
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8651
66.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4349
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17248
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27109
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27111
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3568
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4789
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3540
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3397
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4536
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4497
77.7 IPS |
