iPad Air (5th generation)
Geekbench AI Score
3242
Single Precision Score
16245
Half Precision Score
15974
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 11:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6030
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5784
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9767
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10134
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67150
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65512
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7264
577.9 IPS |
|
|
Object Detection (Q)
|
91% |
6676
533.5 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16479
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15256
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46979
361.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47867
374.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17121
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120545
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112350
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23321
861.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23776
877.9 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3862
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5583
96.5 IPS |
