iPad15,7
Geekbench AI Score
3607
Single Precision Score
6291
Half Precision Score
5146
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
2638
490.6 IPS |
|
|
Image Classification (Q)
|
96% |
1832
342.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6686
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12889
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11818
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8189
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18728
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29869
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24742
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4026
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3930
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7132
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7211
124.6 IPS |
