iPad Air (5th generation)
Geekbench AI Score
3227
Single Precision Score
15761
Half Precision Score
15389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cric_Hammel |
| Upload Date | February 21 2025 11:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1392
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5875
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9733
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10173
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68143
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65665
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6695
535.0 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16645
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
15332
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47340
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47063
367.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17134
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121337
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113060
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23444
865.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24177
892.8 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
