iPad17,4
Geekbench AI Score
5330
Single Precision Score
41304
Half Precision Score
57272
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:48 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% |
2258
419.9 IPS |
|
|
Image Classification (HP)
|
100% |
18103
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24070
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24441
396.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33777
547.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178033
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
328825
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18099
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26245
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46982
558.2 IPS |
|
|
Face Detection (Q)
|
100% |
66429
789.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9151
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110594
852.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175931
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27528
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271575
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
367534
474.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62712
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98978
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6517
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6920
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17581
302.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18394
317.9 IPS |
