iPad Air (5th generation)
Geekbench AI Score
3231
Single Precision Score
16246
Half Precision Score
15972
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9728
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10046
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66878
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65676
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7112
565.8 IPS |
|
|
Object Detection (Q)
|
91% |
6595
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15190
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47118
363.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46765
365.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17118
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120377
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112152
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22864
844.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23435
865.3 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5851
101.1 IPS |
