iPad17,4
Geekbench AI Score
13392
Single Precision Score
23468
Half Precision Score
23596
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 08:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6159
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10302
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9669
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9998
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15558
252.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16883
273.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37809
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91315
106.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106305
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6343
503.1 IPS |
|
|
Object Detection (HP)
|
100% |
10956
869.0 IPS |
|
|
Object Detection (Q)
|
93% |
9976
795.9 IPS |
|
|
Face Detection (SP)
|
100% |
18611
221.1 IPS |
|
|
Face Detection (HP)
|
100% |
32382
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
26777
318.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27737
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51292
395.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51937
405.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78902
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165544
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
203199
262.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15528
573.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30649
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28865
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6203
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6841
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6737
116.4 IPS |
