iPad17,3
Geekbench AI Score
5274
Single Precision Score
41160
Half Precision Score
57065
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | February 14 2026 01:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
18058
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23803
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24245
393.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32757
531.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178233
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333186
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
17961
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26345
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47174
560.5 IPS |
|
|
Face Detection (Q)
|
100% |
68057
808.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9013
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110472
851.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177186
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27443
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270908
348.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373849
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63155
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97603
3.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6296
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6561
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17741
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18536
320.3 IPS |
