iPad17,1
Geekbench AI Score
5209
Single Precision Score
41754
Half Precision Score
58322
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 2 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2245
417.6 IPS |
|
|
Image Classification (HP)
|
100% |
18372
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
26437
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23971
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33185
537.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
177442
207.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
330943
387.9 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
19129
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26799
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
46466
552.1 IPS |
|
|
Face Detection (Q)
|
100% |
66640
791.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110711
853.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182578
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
26506
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271505
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
371738
479.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62944
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101257
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6879
9.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6920
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5072
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17820
306.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18467
319.1 IPS |
