iPad14,8
Geekbench AI Score
2351
Single Precision Score
12256
Half Precision Score
13578
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 04:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
7390
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5110
82.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8185
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
87984
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87395
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
8311
661.1 IPS |
|
|
Object Detection (Q)
|
93% |
8722
695.9 IPS |
|
|
Face Detection (SP)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
11647
138.4 IPS |
|
|
Face Detection (Q)
|
100% |
13298
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4124
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47283
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
57725
451.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137874
177.2 IPS |
|
|
Style Transfer (Q)
|
95% |
126243
163.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19171
707.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25123
927.7 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
799
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2368
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2370
41.0 IPS |
