iPad15,7
Geekbench AI Score
3616
Single Precision Score
21936
Half Precision Score
24312
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 03:11 AM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
8649
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
10639
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14660
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19277
312.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
97343
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102546
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12621
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14646
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
29938
355.7 IPS |
|
|
Face Detection (Q)
|
100% |
38053
452.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6211
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
72869
561.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
89001
695.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19085
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171046
219.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173030
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32307
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35842
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7027
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8049
139.1 IPS |
