iPad17,2
Geekbench AI Score
13177
Single Precision Score
23438
Half Precision Score
23568
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KingJ2 |
| Upload Date | February 10 2026 05:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6123
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10207
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9724
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9973
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15514
251.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16818
272.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37811
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91413
106.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106385
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6350
503.7 IPS |
|
|
Object Detection (HP)
|
100% |
10913
865.7 IPS |
|
|
Object Detection (Q)
|
93% |
9837
784.8 IPS |
|
|
Face Detection (SP)
|
100% |
18153
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
31899
379.0 IPS |
|
|
Face Detection (Q)
|
100% |
25898
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27691
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51275
395.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52008
406.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78775
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166415
213.9 IPS |
|
|
Style Transfer (Q)
|
96% |
204093
263.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15513
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30871
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28458
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5801
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6497
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
