MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
3231
Single Precision Score
4762
Half Precision Score
3942
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | August 17 2024 03:32 PM |
| Views | 27 |
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% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (Q)
|
99% |
1882
351.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14641
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12542
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2256
179.6 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
2849
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8626
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4101
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17330
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27121
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27130
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3576
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3371
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4480
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4478
77.4 IPS |
