iPad15,7
Geekbench AI Score
3615
Single Precision Score
22609
Half Precision Score
25479
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 10:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
9126
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
10844
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14116
228.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18997
308.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
98569
115.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102135
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12489
990.6 IPS |
|
|
Object Detection (Q)
|
91% |
13653
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30183
358.6 IPS |
|
|
Face Detection (Q)
|
100% |
37913
450.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6138
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71975
554.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
88802
694.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18706
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
172408
221.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172584
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32274
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36386
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2346
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7157
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8093
139.9 IPS |
