iPad15,3
Geekbench AI Score
4137
Single Precision Score
31268
Half Precision Score
34920
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rgba |
| Upload Date | August 21 2025 06:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
17416
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20214
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21962
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27119
439.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122092
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121211
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
18306
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20571
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39368
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
51062
606.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97813
753.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
122783
960.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22518
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229649
295.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221262
285.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48684
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55963
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5339
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5332
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4766
82.4 IPS |
