iPad17,1
Geekbench AI Score
5299
Single Precision Score
41507
Half Precision Score
57900
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 12:44 AM |
| Views | 2 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
17786
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25177
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24522
397.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33912
549.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11207
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177587
207.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
333645
391.1 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
19299
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26938
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
45230
537.4 IPS |
|
|
Face Detection (Q)
|
100% |
65175
774.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111729
860.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179679
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27491
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272856
350.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373358
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62951
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101063
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6564
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6744
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5153
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17824
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18519
320.0 IPS |
