iPad15,7
Geekbench AI Score
3619
Single Precision Score
22327
Half Precision Score
25313
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:57 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
9466
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
10459
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14739
238.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19159
310.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
97458
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102200
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
12446
987.2 IPS |
|
|
Object Detection (Q)
|
91% |
14667
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
30662
364.3 IPS |
|
|
Face Detection (Q)
|
100% |
38242
454.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6209
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72483
558.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90019
703.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172722
222.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172949
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32579
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37850
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7080
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8205
141.8 IPS |
