iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
15434
Half Precision Score
15205
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 13 2024 01:16 PM |
| Views | 1 |
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% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5912
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9728
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10030
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
66883
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65918
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6686
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16433
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
15309
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47174
363.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48152
376.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17184
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120163
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111890
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22764
840.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23802
878.9 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3353
57.9 IPS |
