iPad15,7
Geekbench AI Score
3605
Single Precision Score
22806
Half Precision Score
25943
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2025 06:53 PM |
| Views | 13 |
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% |
1411
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
9243
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
10662
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16064
260.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17762
287.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
96871
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102584
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12770
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14515
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30419
361.4 IPS |
|
|
Face Detection (Q)
|
100% |
38821
461.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6264
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71387
550.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
92094
720.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18555
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174688
224.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173392
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32535
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34706
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2731
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7107
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8338
144.1 IPS |
