iPad15,7
Geekbench AI Score
3611
Single Precision Score
22096
Half Precision Score
24833
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 02:15 AM |
| Views | 6 |
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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
8830
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11631
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14371
233.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19000
308.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
97386
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102615
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
12357
980.2 IPS |
|
|
Object Detection (Q)
|
91% |
14357
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3295
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
30756
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
38803
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6205
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71183
548.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
87297
682.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18796
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173395
222.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173680
224.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32533
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34667
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7119
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8083
139.7 IPS |
