iPad17,2
Geekbench AI Score
5280
Single Precision Score
41810
Half Precision Score
58738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:29 AM |
| Views | 1 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
18046
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22963
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24123
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
34053
552.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11319
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
162028
189.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
329109
385.7 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
18803
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27426
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46834
556.5 IPS |
|
|
Face Detection (Q)
|
100% |
68605
815.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9055
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111995
862.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
191707
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
26150
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271788
349.4 IPS |
|
|
Style Transfer (Q)
|
96% |
372358
480.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66726
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103163
3.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
7029
9.38 KIPS |
|
|
Text Classification (Q)
|
93% |
7166
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18409
317.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19133
330.6 IPS |
