iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
16233
Half Precision Score
15941
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:38 PM |
| Views | 2 |
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
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
6114
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5813
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10027
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6552
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68242
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65688
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7101
564.9 IPS |
|
|
Object Detection (Q)
|
91% |
6546
523.1 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16301
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15292
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46908
361.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47658
372.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17157
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119806
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111677
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23017
849.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23469
866.6 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5624
97.2 IPS |
