iPad15,7
Geekbench AI Score
3458
Single Precision Score
22231
Half Precision Score
25091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:05 AM |
| Views | 14 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
9267
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
10457
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15248
247.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19111
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
96614
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102282
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
12633
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14088
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
30914
367.3 IPS |
|
|
Face Detection (Q)
|
100% |
39079
464.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71373
549.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
91280
713.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18739
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170576
219.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172912
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32951
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35689
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1909
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7266
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8174
141.3 IPS |
