iPad17,2
Geekbench AI Score
5330
Single Precision Score
41627
Half Precision Score
57931
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 30 2026 03:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
18280
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23952
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24558
398.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34019
551.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11363
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178002
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
331983
389.1 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
18715
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26859
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
46857
556.8 IPS |
|
|
Face Detection (Q)
|
100% |
66606
791.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9093
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110448
850.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179918
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27425
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271490
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372713
481.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63131
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99576
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6609
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6896
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17821
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19106
330.2 IPS |
