iPad Air (5th generation)
Geekbench AI Score
2197
Single Precision Score
11566
Half Precision Score
11376
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:13 PM |
| Views | 1 |
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% |
933
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
4780
888.9 IPS |
|
|
Image Classification (Q)
|
96% |
4445
830.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7592
123.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7889
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4304
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
48093
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
46510
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.5 IPS |
|
|
Object Detection (HP)
|
99% |
5246
417.3 IPS |
|
|
Object Detection (Q)
|
91% |
5118
409.0 IPS |
|
|
Face Detection (SP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
11605
137.9 IPS |
|
|
Face Detection (Q)
|
100% |
11102
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3769
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35747
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36576
285.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11466
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90900
116.9 IPS |
|
|
Style Transfer (Q)
|
96% |
85998
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18133
669.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18058
666.8 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2581
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2674
46.2 IPS |
