iPad17,4
Geekbench AI Score
5343
Single Precision Score
41425
Half Precision Score
57729
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 03:41 AM |
| Views | 11 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
17875
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23587
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24467
396.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33782
547.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178250
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333348
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
17909
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26417
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
46715
555.1 IPS |
|
|
Face Detection (Q)
|
100% |
66197
786.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9143
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113689
875.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179523
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27670
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271389
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
371326
479.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64351
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99936
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6917
9.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5183
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17676
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19208
331.9 IPS |
