iPad17,1
Geekbench AI Score
12229
Single Precision Score
22564
Half Precision Score
22202
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.24 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6049
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10341
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9693
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9968
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15147
245.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16525
267.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31428
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89388
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
99249
116.3 IPS |
|
|
Object Detection (SP)
|
100% |
5994
475.5 IPS |
|
|
Object Detection (HP)
|
100% |
10821
858.3 IPS |
|
|
Object Detection (Q)
|
93% |
8933
712.7 IPS |
|
|
Face Detection (SP)
|
100% |
17675
210.0 IPS |
|
|
Face Detection (HP)
|
100% |
30046
357.0 IPS |
|
|
Face Detection (Q)
|
100% |
23537
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26525
204.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49001
377.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
49631
387.5 IPS |
|
|
Style Transfer (SP)
|
100% |
69665
89.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163572
210.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195807
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15341
566.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30651
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27088
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5199
89.9 IPS |
