iPad14,4
Geekbench AI Score
3463
Single Precision Score
24517
Half Precision Score
26954
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 26 2024 05:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
14327
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14724
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18924
306.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23509
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105085
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104857
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
15008
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16699
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32069
381.0 IPS |
|
|
Face Detection (Q)
|
100% |
39791
472.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84900
654.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106738
834.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18886
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201244
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
186820
241.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38237
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48338
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2363
40.8 IPS |
