iPad Air (5th generation)
Geekbench AI Score
3239
Single Precision Score
15759
Half Precision Score
15445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mkrish3 |
| Upload Date | January 17 2025 03:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5853
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9838
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10148
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67185
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65667
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7254
577.1 IPS |
|
|
Object Detection (Q)
|
91% |
6772
541.1 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16575
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
15326
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47262
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
48184
376.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17254
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120249
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
112728
145.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23270
859.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24156
892.0 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3766
65.1 IPS |
