iPad17,3
Geekbench AI Score
4773
Single Precision Score
41059
Half Precision Score
52547
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:10 PM |
| Views | 4 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
18276
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25861
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24027
389.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33337
540.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
174692
203.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328802
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
20115
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
20522
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
46933
557.7 IPS |
|
|
Face Detection (Q)
|
100% |
29195
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7985
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110806
853.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181409
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25009
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
268231
344.8 IPS |
|
|
Style Transfer (Q)
|
96% |
377890
487.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52434
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99693
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
7550
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18569
319.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18317
316.5 IPS |
