iPad17,1
Geekbench AI Score
5298
Single Precision Score
41305
Half Precision Score
57293
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sse |
| Upload Date | November 14 2025 04:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
18839
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
24099
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23957
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33507
543.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177447
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333315
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
18311
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26660
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46659
554.4 IPS |
|
|
Face Detection (Q)
|
100% |
66346
788.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110107
848.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178371
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272046
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373740
482.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63092
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99992
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6504
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17695
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18465
319.1 IPS |
