iPad15,7
Geekbench AI Score
3432
Single Precision Score
21699
Half Precision Score
25762
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
8612
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
10808
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13573
220.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19138
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6358
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
94718
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102299
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12365
980.8 IPS |
|
|
Object Detection (Q)
|
91% |
14125
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
31854
378.5 IPS |
|
|
Face Detection (Q)
|
100% |
40523
481.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71487
550.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90393
706.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18487
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169899
218.4 IPS |
|
|
Style Transfer (Q)
|
96% |
171821
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32661
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35544
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7107
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8310
143.6 IPS |
