iPad17,4
Geekbench AI Score
5335
Single Precision Score
8625
Half Precision Score
6852
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 03:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.2 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11098
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20917
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17853
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4196
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15270
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10591
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27491
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41469
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33899
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9562
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9408
162.6 IPS |
