iPad Pro (M5) iPad17,1
Geekbench AI Score
5307
Single Precision Score
41368
Half Precision Score
57304
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 15 2026 12:25 AM |
| Views | 3 |
| Notes | Julia |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
17937
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23606
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24454
396.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33117
536.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11352
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178152
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
333416
390.8 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
18022
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26361
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47204
560.9 IPS |
|
|
Face Detection (Q)
|
100% |
66328
788.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110723
853.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
183782
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27504
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272754
350.6 IPS |
|
|
Style Transfer (Q)
|
96% |
367739
474.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6030
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63185
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99708
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6531
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6773
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17718
305.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18357
317.2 IPS |
