iPad17,1
Geekbench AI Score
5327
Single Precision Score
42104
Half Precision Score
58715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | November 15 2025 12:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
2264
421.1 IPS |
|
|
Image Classification (HP)
|
100% |
18769
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
26860
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24288
393.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33831
548.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177849
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
332861
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
18967
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26661
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4858
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
47082
559.4 IPS |
|
|
Face Detection (Q)
|
100% |
67288
799.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110840
854.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
185630
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27217
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
270208
347.4 IPS |
|
|
Style Transfer (Q)
|
96% |
373759
482.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63413
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101402
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
7179
9.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6876
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17739
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18553
320.6 IPS |
