iPad17,1
Geekbench AI Score
5307
Single Precision Score
41377
Half Precision Score
57185
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
18223
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
24036
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24380
395.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33117
536.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177999
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
328375
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
18237
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26542
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
47151
560.3 IPS |
|
|
Face Detection (Q)
|
100% |
66248
787.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110934
854.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178514
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27554
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271217
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373221
481.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62910
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97469
3.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6762
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17630
303.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18530
320.2 IPS |
