iPad15,7
Geekbench AI Score
3069
Single Precision Score
3182
Half Precision Score
3042
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 06:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
953
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
96% |
905
169.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2348
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10351
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9785
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (Q)
|
92% |
708
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
4311
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7559
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8057
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6630
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17581
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19513
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18916
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2470
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4754
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
727
12.6 IPS |
