iPad17,4
Geekbench AI Score
5332
Single Precision Score
41343
Half Precision Score
57363
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 24 2026 02:59 PM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
18165
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24044
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24232
392.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33155
537.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178207
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
332995
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18403
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26648
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46636
554.1 IPS |
|
|
Face Detection (Q)
|
100% |
66153
786.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110001
847.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176227
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27460
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271949
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
373605
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62670
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99241
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6586
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6855
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17554
302.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18407
318.1 IPS |
