iPad14,8
Geekbench AI Score
3251
Single Precision Score
22767
Half Precision Score
24418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14723
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
14867
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9813
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10902
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102631
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104399
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
15635
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16906
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31810
378.0 IPS |
|
|
Face Detection (Q)
|
100% |
39806
473.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84940
654.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103625
809.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18865
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202689
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188941
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35213
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42846
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2084
36.0 IPS |
