iPad14,4
Geekbench AI Score
3315
Single Precision Score
27034
Half Precision Score
29177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ahmadalfakher |
| Upload Date | October 18 2025 09:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
14944
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15442
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19755
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24187
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6290
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
103909
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105375
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15498
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16995
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33858
402.3 IPS |
|
|
Face Detection (Q)
|
100% |
42870
509.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85771
660.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
106707
833.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18066
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205762
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194198
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44218
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44008
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4409
76.2 IPS |
