iPad15,7
Geekbench AI Score
3590
Single Precision Score
23416
Half Precision Score
26995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | September 24 2025 12:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
10011
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
12735
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16341
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19533
316.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6987
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
103238
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103746
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
13233
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
14574
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
31828
378.2 IPS |
|
|
Face Detection (Q)
|
100% |
39909
474.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6143
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75446
581.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
97077
759.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19119
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
181069
232.8 IPS |
|
|
Style Transfer (Q)
|
96% |
180196
232.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32716
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37957
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7485
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8566
148.0 IPS |
