MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
4771
Half Precision Score
3941
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 12:53 AM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
99% |
1900
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1298
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14608
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12505
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2808
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8626
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4114
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17306
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27124
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27118
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3579
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3367
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4470
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4470
77.2 IPS |
