iPad17,1
Geekbench AI Score
5302
Single Precision Score
41867
Half Precision Score
58313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | techne2718 |
| Upload Date | November 27 2025 04:27 PM |
| Views | 8 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
18004
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24013
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24096
390.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33534
543.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11020
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
179146
209.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
336851
394.8 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18422
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27836
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
47958
569.8 IPS |
|
|
Face Detection (Q)
|
100% |
69130
821.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110724
853.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181082
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27528
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
273074
351.0 IPS |
|
|
Style Transfer (Q)
|
96% |
368557
475.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62984
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104429
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6984
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6791
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18122
312.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18404
318.1 IPS |
