iPad17,3
Geekbench AI Score
2936
Single Precision Score
26631
Half Precision Score
35952
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 2.22 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
11524
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15874
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14433
234.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18365
297.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6245
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
105640
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
192370
225.5 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
100% |
13947
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
16927
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
29667
352.5 IPS |
|
|
Face Detection (Q)
|
100% |
41063
487.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4974
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80972
623.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128598
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
14497
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
184004
236.5 IPS |
|
|
Style Transfer (Q)
|
96% |
260154
335.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42417
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66480
2.45 KIPS |
|
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10585
182.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11076
191.4 IPS |
