iPad15,5
Geekbench AI Score
4138
Single Precision Score
30983
Half Precision Score
34671
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 11:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
17249
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
19750
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21939
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27034
438.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8946
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120948
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120734
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
18097
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20395
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3573
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39062
464.1 IPS |
|
|
Face Detection (Q)
|
100% |
50830
604.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7165
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97399
750.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121954
953.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22514
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228884
294.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221082
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46437
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55505
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
