iPad17,4
Geekbench AI Score
5273
Single Precision Score
41660
Half Precision Score
57613
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | pers1 |
| Upload Date | March 20 2026 09:57 PM |
| Views | 8 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2244
417.4 IPS |
|
|
Image Classification (HP)
|
100% |
18197
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24116
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24493
397.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33674
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11023
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178645
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
332836
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18780
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26612
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47091
559.5 IPS |
|
|
Face Detection (Q)
|
100% |
66603
791.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110531
851.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
181203
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27497
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
273355
351.4 IPS |
|
|
Style Transfer (Q)
|
96% |
372734
481.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62817
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99508
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6641
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17743
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18444
318.7 IPS |
