iPad15,7
Geekbench AI Score
3636
Single Precision Score
21735
Half Precision Score
24292
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 11:10 AM |
| Views | 7 |
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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
8757
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10129
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14105
228.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19270
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6989
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
95932
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102201
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
12376
981.7 IPS |
|
|
Object Detection (Q)
|
91% |
14585
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
29947
355.8 IPS |
|
|
Face Detection (Q)
|
100% |
38138
453.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6206
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72419
557.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
88011
688.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19277
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
170955
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173122
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32223
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35375
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6958
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8153
140.9 IPS |
