iPad14,8
Geekbench AI Score
2355
Single Precision Score
12221
Half Precision Score
13639
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 04:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
7208
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7625
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8216
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
87810
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87247
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
8391
667.5 IPS |
|
|
Object Detection (Q)
|
93% |
8794
701.7 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11618
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
13325
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47445
365.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
58532
457.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11045
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138044
177.5 IPS |
|
|
Style Transfer (Q)
|
95% |
125954
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3169
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18965
700.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24877
918.6 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2387
41.3 IPS |
