iPad Pro 11-inch M5 iPad17,2
Geekbench AI Score
5324
Single Precision Score
41514
Half Precision Score
57387
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | enroscado |
| Upload Date | January 10 2026 01:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
18095
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23583
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24276
393.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33464
542.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11088
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177625
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
332716
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
17876
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26421
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46967
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
66108
785.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9160
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110033
847.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177030
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271248
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
368491
475.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63011
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99679
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6975
9.31 KIPS |
|
|
Text Classification (Q)
|
93% |
7074
9.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17695
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18365
317.4 IPS |
