iPad15,3
Geekbench AI Score
3971
Single Precision Score
30687
Half Precision Score
34421
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1498
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
16038
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
18161
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22198
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26629
431.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
121238
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120331
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
17559
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20456
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
38718
460.1 IPS |
|
|
Face Detection (Q)
|
100% |
51397
610.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6980
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97005
747.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122104
954.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21873
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
228601
293.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218505
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45901
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55944
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4508
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
