iPad13,17
Geekbench AI Score
4891
Single Precision Score
5731
Half Precision Score
5100
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 03:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (Q)
|
97% |
2071
386.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3705
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16929
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18399
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16892
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
2735
217.0 IPS |
|
|
Object Detection (Q)
|
91% |
2148
171.7 IPS |
|
|
Face Detection (SP)
|
100% |
6835
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
5871
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12205
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13621
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11286
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28472
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33664
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32497
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6371
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5438
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
