iPad17,2
Geekbench AI Score
5353
Single Precision Score
41384
Half Precision Score
57538
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:29 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
18031
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24255
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24234
392.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
34063
552.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11383
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178464
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
332860
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
18013
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26591
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46999
558.4 IPS |
|
|
Face Detection (Q)
|
100% |
66931
795.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9152
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110906
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177449
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27471
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271474
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
368302
475.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63513
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99526
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6579
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6775
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17740
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18441
318.7 IPS |
