iPad17,4
Geekbench AI Score
5320
Single Precision Score
41242
Half Precision Score
57477
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2282
424.3 IPS |
|
|
Image Classification (HP)
|
100% |
17975
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24119
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24011
389.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33717
546.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178099
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332690
389.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18203
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26338
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46813
556.2 IPS |
|
|
Face Detection (Q)
|
100% |
66119
785.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110841
854.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180250
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27542
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271994
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373044
481.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63085
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99530
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6764
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17715
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18452
318.9 IPS |
