iPad15,7
Geekbench AI Score
3584
Single Precision Score
23649
Half Precision Score
27270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 02:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
9887
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
13138
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16262
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19561
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7096
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
101895
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105065
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
13171
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14706
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30468
362.0 IPS |
|
|
Face Detection (Q)
|
100% |
38636
459.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6134
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75486
581.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96800
756.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19137
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
176896
227.4 IPS |
|
|
Style Transfer (Q)
|
96% |
180036
232.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4123
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33048
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37131
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2502
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2745
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7540
129.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8347
144.3 IPS |
