iPad17,1
Geekbench AI Score
5303
Single Precision Score
41625
Half Precision Score
57440
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:20 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (HP)
|
100% |
18009
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23529
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24495
397.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33931
550.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11063
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177889
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333718
391.1 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
19680
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
26530
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46964
558.0 IPS |
|
|
Face Detection (Q)
|
100% |
66533
790.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9155
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109965
847.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
184849
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27520
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270223
347.4 IPS |
|
|
Style Transfer (Q)
|
96% |
366895
473.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62900
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98424
3.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6507
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17705
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18358
317.3 IPS |
