iPad17,3
Geekbench AI Score
13275
Single Precision Score
23318
Half Precision Score
23304
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | November 25 2025 12:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6127
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10302
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9637
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9949
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15196
246.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16690
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37473
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89978
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105876
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
6281
498.3 IPS |
|
|
Object Detection (HP)
|
100% |
10861
861.5 IPS |
|
|
Object Detection (Q)
|
93% |
9827
783.9 IPS |
|
|
Face Detection (SP)
|
100% |
18246
216.8 IPS |
|
|
Face Detection (HP)
|
100% |
32230
383.0 IPS |
|
|
Face Detection (Q)
|
100% |
26226
311.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27590
212.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51217
394.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51534
402.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78574
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163846
210.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202376
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15313
565.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30584
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28605
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6709
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6629
114.6 IPS |
