iPad17,3
Geekbench AI Score
5343
Single Precision Score
41551
Half Precision Score
57201
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 09:57 AM |
| Views | 1 |
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, 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% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
18100
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23815
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24144
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33082
536.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11383
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178500
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
330522
387.4 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18722
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26364
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
47373
562.9 IPS |
|
|
Face Detection (Q)
|
100% |
67245
799.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9110
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111168
856.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
178598
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27324
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271378
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
371570
479.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63123
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100541
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6580
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6666
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17695
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18267
315.7 IPS |
