iPad14,6
Geekbench AI Score
3433
Single Precision Score
20820
Half Precision Score
22927
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GeekinWitDaBench |
| Upload Date | August 17 2024 02:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
13791
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
14011
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9177
148.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9153
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
98942
115.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
100627
118.0 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
14458
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
16992
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
21686
257.7 IPS |
|
|
Face Detection (Q)
|
100% |
33671
400.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5639
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75298
580.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
81697
631.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18635
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152924
196.6 IPS |
|
|
Style Transfer (Q)
|
100% |
154340
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38014
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48999
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2378
41.1 IPS |
