iPad17,3
Geekbench AI Score
5249
Single Precision Score
42829
Half Precision Score
59409
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | November 05 2025 02:05 AM |
| Views | 14 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
18235
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25026
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24336
394.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33679
546.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10632
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
175007
204.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
329752
386.5 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
20270
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
27699
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
47730
567.1 IPS |
|
|
Face Detection (Q)
|
100% |
68703
816.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9092
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
113910
877.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
187640
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27350
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
273549
351.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373901
482.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67137
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104805
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7166
9.56 KIPS |
|
|
Text Classification (Q)
|
93% |
7314
9.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5052
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18441
317.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19257
332.8 IPS |
