iPad14,10
Geekbench AI Score
6072
Single Precision Score
6855
Half Precision Score
5951
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2874
534.5 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.9 IPS |
|
|
Image Classification (Q)
|
97% |
2491
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3827
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4548
73.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4580
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22324
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23641
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22084
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2938
233.0 IPS |
|
|
Object Detection (HP)
|
100% |
3141
249.1 IPS |
|
|
Object Detection (Q)
|
91% |
2561
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
9585
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
10877
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
7573
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15333
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16266
125.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13372
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38615
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43573
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40759
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8334
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6659
245.9 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3671
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
