iPad17,3
Geekbench AI Score
5543
Single Precision Score
41578
Half Precision Score
58527
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TxxT |
| Upload Date | April 03 2026 07:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (HP)
|
100% |
18239
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25366
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24233
392.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
34257
555.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9851
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
178173
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
334265
391.8 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
18407
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
27481
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
5157
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
48809
580.0 IPS |
|
|
Face Detection (Q)
|
100% |
75273
894.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110545
851.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
185264
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
25378
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
274746
353.2 IPS |
|
|
Style Transfer (Q)
|
96% |
344871
445.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62849
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98648
3.64 KIPS |
|
|
Text Classification (SP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6713
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17831
307.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18552
320.6 IPS |
