iPad17,3
Geekbench AI Score
13032
Single Precision Score
23029
Half Precision Score
22914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | November 05 2025 02:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6127
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10231
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9605
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9925
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15135
245.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16603
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36105
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89769
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105710
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6222
493.5 IPS |
|
|
Object Detection (HP)
|
100% |
10649
844.7 IPS |
|
|
Object Detection (Q)
|
93% |
9546
761.5 IPS |
|
|
Face Detection (SP)
|
100% |
18113
215.2 IPS |
|
|
Face Detection (HP)
|
100% |
31902
379.1 IPS |
|
|
Face Detection (Q)
|
100% |
25678
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26954
207.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50374
388.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
50290
392.6 IPS |
|
|
Style Transfer (SP)
|
100% |
75408
96.9 IPS |
|
|
Style Transfer (HP)
|
100% |
160620
206.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192315
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15967
589.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30752
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28165
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6535
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6516
112.6 IPS |
