iPad17,4
Geekbench AI Score
5332
Single Precision Score
41281
Half Precision Score
57631
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 14 2026 03:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
18309
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24081
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24207
392.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33714
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177343
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
332827
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
17844
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26393
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46915
557.5 IPS |
|
|
Face Detection (Q)
|
100% |
67247
799.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110694
852.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175927
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27642
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272084
349.8 IPS |
|
|
Style Transfer (Q)
|
96% |
372894
481.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62704
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101467
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6578
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6892
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17583
302.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18370
317.4 IPS |
