iPad PRO 11" 256GB (M5) iPad17,2
Geekbench AI Score
5306
Single Precision Score
41148
Half Precision Score
57184
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | November 02 2025 02:10 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
17996
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24025
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24359
394.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33035
535.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11007
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177994
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
328218
384.7 IPS |
|
|
Object Detection (SP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
17747
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
27056
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46593
553.6 IPS |
|
|
Face Detection (Q)
|
100% |
65551
778.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111158
856.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176041
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27586
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271553
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
374366
483.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63229
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99925
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6660
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17658
304.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18455
318.9 IPS |
