iPad17,4
Geekbench AI Score
5334
Single Precision Score
41446
Half Precision Score
57195
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
18065
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23771
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24063
390.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33454
542.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11066
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178117
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328258
384.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18457
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26330
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46909
557.4 IPS |
|
|
Face Detection (Q)
|
100% |
66532
790.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110568
851.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173638
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27363
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271900
349.5 IPS |
|
|
Style Transfer (Q)
|
96% |
372863
481.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64941
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101284
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6818
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17630
303.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18323
316.6 IPS |
