iPad17,4
Geekbench AI Score
5337
Single Precision Score
41405
Half Precision Score
57602
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 04:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
18852
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
23780
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24480
396.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33648
545.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177842
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
328801
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18033
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26962
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
46996
558.4 IPS |
|
|
Face Detection (Q)
|
100% |
66399
789.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110428
850.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175406
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27579
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272057
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
374584
483.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63011
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100090
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6412
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
7070
9.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17544
302.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18366
317.4 IPS |
