iPad17,1
Geekbench AI Score
5345
Single Precision Score
41175
Half Precision Score
57224
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:42 AM |
| Views | 1 |
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, 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
17960
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23907
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24100
390.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33731
546.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11403
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178203
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
332989
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
17935
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26506
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4747
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46728
555.2 IPS |
|
|
Face Detection (Q)
|
100% |
66238
787.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110646
852.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175510
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27369
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
270985
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
372566
480.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62813
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99126
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6531
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6499
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17620
303.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18960
327.6 IPS |
