iPad17,4
Geekbench AI Score
5351
Single Precision Score
41612
Half Precision Score
57264
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 31 2026 04:02 AM |
| Views | 10 |
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% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
18034
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23978
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24194
392.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33414
541.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11393
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178077
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333092
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18265
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26372
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
47185
560.7 IPS |
|
|
Face Detection (Q)
|
100% |
67462
801.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9113
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110912
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174612
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27578
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271076
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
373043
481.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63389
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99514
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6945
9.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6726
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17564
302.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18319
316.6 IPS |
