iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
15474
Half Precision Score
15250
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 13 2024 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6057
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5878
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9750
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10087
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
67461
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66068
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7263
577.8 IPS |
|
|
Object Detection (Q)
|
91% |
6731
537.8 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16534
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
15321
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47365
364.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47670
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17113
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120538
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112329
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23182
856.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23848
880.6 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3414
59.0 IPS |
