iPad Pro 13-inch (M5) iPad17,4
Geekbench AI Score
5329
Single Precision Score
41337
Half Precision Score
57707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 15 2025 02:46 AM |
| Views | 25 |
| Notes | iPad Pro 13-inch (M5) Wi-Fi + Cellular/12GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.32 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
18100
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24516
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24159
391.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33283
539.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178115
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328854
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
18045
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26535
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
47018
558.7 IPS |
|
|
Face Detection (Q)
|
100% |
66433
789.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9096
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111459
858.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177082
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27486
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271456
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373511
482.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63075
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103005
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6919
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17751
305.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18368
317.4 IPS |
