iPad13,18
Geekbench AI Score
2720
Single Precision Score
10891
Half Precision Score
11218
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | August 15 2024 05:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1212
225.3 IPS |
|
|
Image Classification (HP)
|
100% |
4595
854.6 IPS |
|
|
Image Classification (Q)
|
99% |
5290
986.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5642
91.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5657
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
56353
65.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
58760
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
5220
415.3 IPS |
|
|
Object Detection (Q)
|
91% |
4859
388.3 IPS |
|
|
Face Detection (SP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
11317
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
11291
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5023
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33639
259.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
40369
312.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14026
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
97131
124.9 IPS |
|
|
Style Transfer (Q)
|
100% |
99637
128.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18906
698.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18717
693.5 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2193
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1983
34.3 IPS |
