iPad15,7
Geekbench AI Score
3430
Single Precision Score
23182
Half Precision Score
26181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:38 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
9825
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
11088
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14117
228.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19285
312.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6220
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
97301
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102482
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
12715
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14910
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30924
367.4 IPS |
|
|
Face Detection (Q)
|
100% |
39538
469.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70754
545.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
88592
692.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18126
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
173504
223.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171806
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31647
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35835
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2602
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7389
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8253
142.6 IPS |
