iPad17,3
Geekbench AI Score
5335
Single Precision Score
41672
Half Precision Score
58340
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ikristof |
| Upload Date | January 09 2026 07:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
18434
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
25222
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24529
397.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33860
548.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11012
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178033
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329302
386.0 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
18167
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26785
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47108
559.7 IPS |
|
|
Face Detection (Q)
|
100% |
67066
796.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9096
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110948
854.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
187818
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27600
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271233
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373461
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66055
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101626
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6514
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6874
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17704
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18452
318.9 IPS |
