iPad17,2
Geekbench AI Score
14331
Single Precision Score
25383
Half Precision Score
26879
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10184
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
10445
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15390
249.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16470
267.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37197
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89833
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118257
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
6377
505.8 IPS |
|
|
Object Detection (HP)
|
100% |
11251
892.5 IPS |
|
|
Object Detection (Q)
|
94% |
11707
933.4 IPS |
|
|
Face Detection (SP)
|
100% |
19158
227.6 IPS |
|
|
Face Detection (HP)
|
100% |
35036
416.3 IPS |
|
|
Face Detection (Q)
|
100% |
34022
404.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27725
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52201
402.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
55930
436.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78174
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
163552
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
207293
267.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15368
567.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29680
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28938
1.07 KIPS |
|
|
Text Classification (SP)
|
99% |
5894
7.87 KIPS |
|
|
Text Classification (HP)
|
99% |
9625
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9700
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
6799
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8204
141.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
