iPad17,1
Geekbench AI Score
5329
Single Precision Score
41167
Half Precision Score
57350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | harry34x |
| Upload Date | October 26 2025 06:58 AM |
| Views | 9 |
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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
18017
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24301
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23451
380.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33075
536.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177979
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329382
386.1 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18179
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26562
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
46432
551.7 IPS |
|
|
Face Detection (Q)
|
100% |
66093
785.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9119
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111349
857.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181966
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27569
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271553
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
373396
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63281
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99313
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6491
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6651
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17736
305.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18455
318.9 IPS |
