iPad14,8
Geekbench AI Score
3465
Single Precision Score
27299
Half Precision Score
30364
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
14534
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
14730
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18798
304.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23860
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102484
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104417
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
14993
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17010
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
33080
393.1 IPS |
|
|
Face Detection (Q)
|
100% |
41636
494.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84573
651.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
102741
802.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18944
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202637
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190368
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38491
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46813
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6814
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7466
129.0 IPS |
