iPad14,8
Geekbench AI Score
5933
Single Precision Score
6539
Half Precision Score
5124
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2939
546.6 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.1 IPS |
|
|
Image Classification (Q)
|
99% |
2663
496.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3830
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4594
74.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4475
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22348
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23671
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
21338
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2988
237.0 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
91% |
2459
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
9556
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
10783
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7451
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15361
118.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16322
125.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
2535
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38227
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43689
56.2 IPS |
|
|
Style Transfer (Q)
|
100% |
43438
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8164
301.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8421
310.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6238
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3665
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
98% |
1065
18.4 IPS |
