iPad17,4
Geekbench AI Score
5350
Single Precision Score
41352
Half Precision Score
57199
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
18063
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23936
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24476
396.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33792
547.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11375
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178218
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
332491
389.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17876
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26282
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47012
558.6 IPS |
|
|
Face Detection (Q)
|
100% |
66496
790.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9156
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110716
853.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176905
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27542
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
273293
351.3 IPS |
|
|
Style Transfer (Q)
|
96% |
366966
473.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63044
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100315
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6563
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6645
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17637
303.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18433
318.5 IPS |
