iPad17,3
Geekbench AI Score
5269
Single Precision Score
41289
Half Precision Score
57618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 06:47 AM |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
17939
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24408
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24442
396.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33146
537.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11382
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177803
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333838
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
18466
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27103
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46776
555.8 IPS |
|
|
Face Detection (Q)
|
100% |
66539
790.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9065
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110927
854.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
183433
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27203
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
270914
348.3 IPS |
|
|
Style Transfer (Q)
|
96% |
371280
479.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63655
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99623
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6346
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6704
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17615
303.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18203
314.6 IPS |
