iPad Air (5th generation)
Geekbench AI Score
3213
Single Precision Score
15708
Half Precision Score
15362
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 03 2025 01:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6251
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5837
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9703
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10103
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68252
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66518
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
7209
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
6687
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16697
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
15262
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47314
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47670
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16927
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119852
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111537
143.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23100
853.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23800
878.8 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3736
64.6 IPS |
