iPad17,4
Geekbench AI Score
5304
Single Precision Score
41307
Half Precision Score
57742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 01:40 AM |
| Views | 10 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
18020
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23789
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24321
394.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33026
535.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177429
207.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328722
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
18358
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27107
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46819
556.3 IPS |
|
|
Face Detection (Q)
|
100% |
66416
789.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9097
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110580
852.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182239
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27255
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
272027
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
375360
484.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63277
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101837
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6848
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17769
306.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18576
321.0 IPS |
