iPad17,1
Geekbench AI Score
5325
Single Precision Score
41661
Half Precision Score
58238
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | November 05 2025 05:04 PM |
| Views | 12 |
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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
18135
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25167
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24532
397.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
34096
552.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11040
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178072
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
330933
387.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18570
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27153
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47435
563.6 IPS |
|
|
Face Detection (Q)
|
100% |
67179
798.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9079
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111003
855.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180612
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27352
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271283
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
368582
475.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64223
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100214
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6545
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
7045
9.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17835
307.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18436
318.6 IPS |
