iPad15,7
Geekbench AI Score
3453
Single Precision Score
21941
Half Precision Score
24997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:05 AM |
| Views | 10 |
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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
9019
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10324
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13680
221.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19266
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
95792
111.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102234
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
12348
979.4 IPS |
|
|
Object Detection (Q)
|
91% |
14493
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
30331
360.4 IPS |
|
|
Face Detection (Q)
|
100% |
37915
450.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71439
550.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
91329
714.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18720
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170955
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173165
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33071
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35876
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7286
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8216
142.0 IPS |
