iPad17,1
Geekbench AI Score
5310
Single Precision Score
41642
Half Precision Score
58267
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 04:02 AM |
| Views | 4 |
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% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
17981
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25628
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24480
396.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33935
550.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178007
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332931
390.2 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
18338
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26764
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4776
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47269
561.7 IPS |
|
|
Face Detection (Q)
|
100% |
66820
794.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111070
855.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
183674
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27444
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272506
350.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374596
483.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63813
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99941
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6542
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6850
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5144
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18272
314.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18496
319.6 IPS |
