iPad16,1
Geekbench AI Score
3647
Single Precision Score
26560
Half Precision Score
36465
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:20 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
10794
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15583
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16500
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21281
345.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6342
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
98736
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
189441
222.0 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
13795
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
17743
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34971
415.5 IPS |
|
|
Face Detection (Q)
|
100% |
47883
569.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6294
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77829
599.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124610
974.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18864
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206569
265.5 IPS |
|
|
Style Transfer (Q)
|
96% |
248654
320.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35098
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62514
2.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7268
125.6 IPS |
