iPad17,4
Geekbench AI Score
5350
Single Precision Score
41334
Half Precision Score
57265
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 14 2026 02:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
18358
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23979
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24204
392.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33779
547.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11384
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178294
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
332522
389.7 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
17880
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26414
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46871
556.9 IPS |
|
|
Face Detection (Q)
|
100% |
66471
789.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110468
851.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175325
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27300
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271947
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
368100
475.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63084
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99464
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6801
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17748
305.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18370
317.5 IPS |
