iPad13,17
Geekbench AI Score
3209
Single Precision Score
15664
Half Precision Score
15431
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 07:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5859
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10004
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68622
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66625
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7201
572.8 IPS |
|
|
Object Detection (Q)
|
91% |
6786
542.2 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16421
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
15365
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47269
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47959
374.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16981
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120213
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
113767
146.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22977
848.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23784
878.2 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3761
65.0 IPS |
