iPad17,1
Geekbench AI Score
5362
Single Precision Score
41214
Half Precision Score
57213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:58 PM |
| Views | 2 |
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% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
17980
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23815
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24041
389.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33495
543.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11353
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178745
208.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
328712
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
17906
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26445
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
46992
558.4 IPS |
|
|
Face Detection (Q)
|
100% |
66609
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110606
852.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176339
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27631
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
270673
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
371840
479.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63290
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98387
3.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6491
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6848
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17684
304.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18417
318.3 IPS |
