iPad17,1
Geekbench AI Score
5330
Single Precision Score
41909
Half Precision Score
58367
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 06 2026 01:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
18403
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24704
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24468
396.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33487
542.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11040
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178113
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
330254
387.1 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18514
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26939
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47199
560.8 IPS |
|
|
Face Detection (Q)
|
100% |
69010
820.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111597
859.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
183839
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27324
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
269842
346.9 IPS |
|
|
Style Transfer (Q)
|
96% |
375061
484.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64943
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101575
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6800
9.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6888
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17936
309.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18728
323.6 IPS |
