iPad PRO 11" 256GB (M5) iPad17,2
Geekbench AI Score
12801
Single Precision Score
22987
Half Precision Score
23010
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | November 02 2025 02:08 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6172
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10487
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
9773
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10023
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15600
252.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16868
273.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37816
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91394
106.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106607
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
10937
867.5 IPS |
|
|
Object Detection (Q)
|
93% |
9840
785.0 IPS |
|
|
Face Detection (SP)
|
100% |
18420
218.9 IPS |
|
|
Face Detection (HP)
|
100% |
32308
383.9 IPS |
|
|
Face Detection (Q)
|
100% |
26104
310.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27789
214.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50915
392.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52015
406.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78945
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
166466
214.0 IPS |
|
|
Style Transfer (Q)
|
96% |
202964
261.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15587
575.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30913
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29391
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5355
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5343
92.3 IPS |
