iPad15,7
Geekbench AI Score
3641
Single Precision Score
23082
Half Precision Score
25997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:32 AM |
| Views | 10 |
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% |
9245
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11078
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15536
251.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19196
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
97519
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102845
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12540
994.6 IPS |
|
|
Object Detection (Q)
|
91% |
14263
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
30919
367.4 IPS |
|
|
Face Detection (Q)
|
100% |
38896
462.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6200
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70946
546.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89002
695.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18839
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
172527
221.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171757
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33178
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34768
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2675
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7306
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8176
141.3 IPS |
