iPad15,7
Geekbench AI Score
3619
Single Precision Score
22190
Half Precision Score
24705
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:22 PM |
| Views | 6 |
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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
9018
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10304
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16279
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19312
313.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6896
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
94905
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102361
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
12475
989.5 IPS |
|
|
Object Detection (Q)
|
91% |
14224
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30585
363.4 IPS |
|
|
Face Detection (Q)
|
100% |
37996
451.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71875
553.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89205
697.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19165
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
172397
221.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172806
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32469
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34840
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7110
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8150
140.8 IPS |
