iPad17,1
Geekbench AI Score
5325
Single Precision Score
41821
Half Precision Score
58397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
18245
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
24138
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24337
394.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
34187
554.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178839
208.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
331646
388.7 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
19397
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27740
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47494
564.3 IPS |
|
|
Face Detection (Q)
|
100% |
67691
804.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111455
858.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
192534
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27432
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
273791
352.0 IPS |
|
|
Style Transfer (Q)
|
96% |
376383
485.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63177
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98447
3.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6824
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17761
305.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18437
318.6 IPS |
