iPad17,2
Geekbench AI Score
5333
Single Precision Score
41473
Half Precision Score
57649
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 06 2025 12:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
17983
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23977
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24131
391.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
34089
552.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11343
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177774
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
328752
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18541
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26507
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47110
559.8 IPS |
|
|
Face Detection (Q)
|
100% |
66575
791.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111274
857.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178624
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26742
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272152
349.9 IPS |
|
|
Style Transfer (Q)
|
96% |
372194
480.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63111
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100655
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6600
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6923
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5154
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17712
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18457
319.0 IPS |
