iPad 10th Generation iPad13,18
Geekbench AI Score
1652
Single Precision Score
10110
Half Precision Score
10497
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | August 22 2024 06:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (Q)
|
99% |
5151
960.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
3579
58.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4874
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
57250
66.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
59596
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.7 IPS |
|
|
Object Detection (HP)
|
99% |
5216
415.0 IPS |
|
|
Object Detection (Q)
|
93% |
4920
392.6 IPS |
|
|
Face Detection (SP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
11011
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
10223
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3051
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33474
257.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
37868
292.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8856
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
91765
118.0 IPS |
|
|
Style Transfer (Q)
|
100% |
98784
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13707
506.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16183
599.6 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2553
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1994
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1973
34.1 IPS |
