iPad14,10
Geekbench AI Score
5624
Single Precision Score
5875
Half Precision Score
1970
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2885
536.6 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
97% |
2281
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3788
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4527
73.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4474
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22261
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23643
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
21538
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2855
226.5 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
92% |
2464
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
9323
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
10516
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
7228
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15321
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16272
125.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38055
48.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43532
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40597
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7843
289.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6386
235.8 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
