iPad17,3
Geekbench AI Score
5216
Single Precision Score
42571
Half Precision Score
60360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2263
420.8 IPS |
|
|
Image Classification (HP)
|
100% |
18868
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
27529
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23955
388.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33734
546.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10786
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
178679
208.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
335357
393.1 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
19296
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27451
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
47786
567.8 IPS |
|
|
Face Detection (Q)
|
100% |
68197
810.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9065
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112871
869.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
194847
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27471
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272064
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
376197
485.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65471
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102622
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
7333
9.79 KIPS |
|
|
Text Classification (Q)
|
93% |
7640
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17811
306.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19161
331.1 IPS |
