iPad14,4
Geekbench AI Score
3218
Single Precision Score
4725
Half Precision Score
4060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2024 11:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
96% |
1445
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1840
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6127
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14390
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12396
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2906
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8579
66.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6483
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17375
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27009
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22560
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3083
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4532
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4537
78.4 IPS |
