iPad17,2
Geekbench AI Score
5211
Single Precision Score
41707
Half Precision Score
57963
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:47 PM |
| Views | 1 |
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, 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% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
18165
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24255
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24359
394.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33298
539.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10661
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
177497
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333519
390.9 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
18810
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26441
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
46968
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
68320
811.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9044
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111412
858.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
186656
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27262
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
270278
347.4 IPS |
|
|
Style Transfer (Q)
|
96% |
371274
479.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63338
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99633
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6750
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6714
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5052
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17829
307.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18977
327.9 IPS |
