iPad17,4
Geekbench AI Score
5329
Single Precision Score
41087
Half Precision Score
56968
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
17838
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23520
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24108
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33080
536.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178126
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328879
385.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
17977
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26110
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46813
556.2 IPS |
|
|
Face Detection (Q)
|
100% |
66440
789.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9116
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110245
849.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175644
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27569
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271561
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
371696
479.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62950
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99791
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6780
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17559
302.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18362
317.3 IPS |
