iPad Air (5th generation)
Geekbench AI Score
2670
Single Precision Score
12747
Half Precision Score
13762
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
5494
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5651
91.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6809
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
61202
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65583
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
6742
536.3 IPS |
|
|
Object Detection (Q)
|
91% |
7023
561.2 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
14388
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
14785
175.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48915
376.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
46165
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13038
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
123049
158.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116771
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3091
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22834
843.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22645
836.2 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2003
34.6 IPS |
