iPad14,9
Geekbench AI Score
3458
Single Precision Score
23068
Half Precision Score
25050
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad14,9 |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
14192
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14344
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11114
180.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103063
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105018
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
15474
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16799
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
33174
394.2 IPS |
|
|
Face Detection (Q)
|
100% |
41420
492.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84639
652.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102315
799.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200628
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189833
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37924
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47613
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3728
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2423
41.9 IPS |
