iPad17,3
Geekbench AI Score
5307
Single Precision Score
41331
Half Precision Score
57261
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nathanjliu |
| Upload Date | October 31 2025 07:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2263
420.8 IPS |
|
|
Image Classification (HP)
|
100% |
18326
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
24435
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23969
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33280
539.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178870
208.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329225
385.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
18132
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26485
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46711
555.0 IPS |
|
|
Face Detection (Q)
|
100% |
65911
783.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110877
854.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178267
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27568
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270214
347.4 IPS |
|
|
Style Transfer (Q)
|
96% |
373416
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63374
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101003
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6473
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6506
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17788
306.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18538
320.4 IPS |
