iPad Pro 11” M5 iPad17,2
Geekbench AI Score
5338
Single Precision Score
41770
Half Precision Score
57356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adamrossnv |
| Upload Date | November 11 2025 03:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
18095
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25030
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24065
390.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32943
534.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177256
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328408
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
18281
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26171
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47063
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
67030
796.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110606
852.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
174428
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27462
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272782
350.7 IPS |
|
|
Style Transfer (Q)
|
96% |
372421
480.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64965
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99811
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7072
9.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6762
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17567
302.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18502
319.7 IPS |
