iPad15,7
Geekbench AI Score
3462
Single Precision Score
22862
Half Precision Score
24679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:31 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
8755
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10373
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15987
259.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19236
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
97374
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102167
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12315
976.8 IPS |
|
|
Object Detection (Q)
|
91% |
13949
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30900
367.2 IPS |
|
|
Face Detection (Q)
|
100% |
39192
465.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5999
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71725
552.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
90413
706.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170335
219.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171946
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35552
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34783
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1704
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7218
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8162
141.0 IPS |
