iPad17,4
Geekbench AI Score
5315
Single Precision Score
41384
Half Precision Score
57623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
18181
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24198
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24277
393.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33236
538.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178476
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
335013
392.7 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18343
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26593
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46407
551.4 IPS |
|
|
Face Detection (Q)
|
100% |
65669
780.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9093
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110865
854.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181385
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27470
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271696
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374598
483.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63216
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100227
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6537
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6786
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17655
304.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18564
320.8 IPS |
