iPad15,7
Geekbench AI Score
3615
Single Precision Score
22877
Half Precision Score
24952
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:33 AM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (HP)
|
100% |
10056
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
10238
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16299
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19123
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
97458
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101950
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12537
994.4 IPS |
|
|
Object Detection (Q)
|
91% |
14340
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30942
367.7 IPS |
|
|
Face Detection (Q)
|
100% |
39095
464.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6195
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71620
551.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89333
698.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18978
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170707
219.4 IPS |
|
|
Style Transfer (Q)
|
96% |
172043
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32524
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35457
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1862
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6977
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8241
142.4 IPS |
