iPad14,8
Geekbench AI Score
3461
Single Precision Score
24410
Half Precision Score
26873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | blueaura18 |
| Upload Date | September 28 2024 01:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14235
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
14392
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18777
304.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23845
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
101745
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106243
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
14956
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16837
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32084
381.2 IPS |
|
|
Face Detection (Q)
|
100% |
40302
478.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
83907
646.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
104912
819.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18865
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201967
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
187643
242.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38360
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46292
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3656
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2383
41.2 IPS |
