iPad17,1
Geekbench AI Score
5320
Single Precision Score
42082
Half Precision Score
58681
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | December 05 2025 01:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
18037
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25287
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24490
397.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33688
546.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178008
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332241
389.4 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
19275
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27673
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
47679
566.5 IPS |
|
|
Face Detection (Q)
|
100% |
68342
812.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9149
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110634
852.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
182381
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27662
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
275059
353.6 IPS |
|
|
Style Transfer (Q)
|
96% |
373433
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62709
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101432
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7145
9.54 KIPS |
|
|
Text Classification (Q)
|
93% |
7102
9.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17680
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18436
318.6 IPS |
