iPad17,3
Geekbench AI Score
5312
Single Precision Score
41322
Half Precision Score
57549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | raylee930 |
| Upload Date | December 27 2025 05:16 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
18302
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23825
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24379
395.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33005
535.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177622
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
332782
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
17835
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26810
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47052
559.1 IPS |
|
|
Face Detection (Q)
|
100% |
66371
788.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9110
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110544
851.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
180435
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271447
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
366997
473.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63341
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100784
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6513
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6814
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17634
303.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18819
325.2 IPS |
