iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
16315
Half Precision Score
16029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 12 2024 02:47 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
6300
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5940
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9748
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9995
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66650
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65665
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
7246
576.4 IPS |
|
|
Object Detection (Q)
|
91% |
6739
538.4 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16508
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15301
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47346
364.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47967
374.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17113
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120454
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112635
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23117
853.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23897
882.4 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5627
97.2 IPS |
