iPad Pro 11-inch M5 iPad17,2
Geekbench AI Score
13165
Single Precision Score
23152
Half Precision Score
23165
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | enroscado |
| Upload Date | January 10 2026 01:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
6115
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10216
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9671
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9990
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15213
246.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16725
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37189
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89649
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105238
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
6311
500.6 IPS |
|
|
Object Detection (HP)
|
100% |
10936
867.4 IPS |
|
|
Object Detection (Q)
|
93% |
9749
777.8 IPS |
|
|
Face Detection (SP)
|
100% |
18319
217.7 IPS |
|
|
Face Detection (HP)
|
100% |
32304
383.8 IPS |
|
|
Face Detection (Q)
|
100% |
25969
308.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27615
212.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50185
386.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51336
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78075
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163506
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
199975
258.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15316
565.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30523
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28244
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6046
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6554
113.3 IPS |
