iPad17,4
Geekbench AI Score
5352
Single Precision Score
41400
Half Precision Score
57471
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 11 2026 03:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
18086
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23910
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24439
396.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33800
547.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11358
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178160
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
328888
385.5 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
18200
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26231
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
47152
560.3 IPS |
|
|
Face Detection (Q)
|
100% |
66383
788.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110299
849.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174143
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27498
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271683
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
372375
480.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63273
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100339
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6531
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
7154
9.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17678
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18249
315.4 IPS |
