iPad17,3
Geekbench AI Score
5282
Single Precision Score
41395
Half Precision Score
57914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
17882
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24902
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24107
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
34089
552.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10990
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177881
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
332798
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
18229
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26662
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46557
553.2 IPS |
|
|
Face Detection (Q)
|
100% |
65701
780.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9118
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113166
871.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
182304
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
26340
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271078
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
366476
472.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63271
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100132
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6563
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6934
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5153
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17821
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18491
319.5 IPS |
