iPad15,7
Geekbench AI Score
3452
Single Precision Score
22874
Half Precision Score
25930
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:26 AM |
| Views | 15 |
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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
9473
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
10942
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16123
261.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19415
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
97617
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102720
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12312
976.6 IPS |
|
|
Object Detection (Q)
|
91% |
14074
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
30782
365.8 IPS |
|
|
Face Detection (Q)
|
100% |
39083
464.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71267
549.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89778
701.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18492
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171674
220.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173294
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33263
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34897
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2568
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7093
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8214
142.0 IPS |
