iPad17,3
Geekbench AI Score
5344
Single Precision Score
41747
Half Precision Score
57783
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Sly-RG |
| Upload Date | November 06 2025 07:50 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
17966
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23722
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24227
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33325
540.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177317
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
328725
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
18933
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26556
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
47079
559.4 IPS |
|
|
Face Detection (Q)
|
100% |
66611
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111599
859.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
183518
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27384
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
272053
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
372533
480.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63306
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100744
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6872
9.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6986
9.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17699
304.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18762
324.2 IPS |
