iPad16,1
Geekbench AI Score
3644
Single Precision Score
26751
Half Precision Score
36369
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:08 PM |
| Views | 10 |
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% |
11177
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15173
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16618
269.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21649
351.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
102660
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
194122
227.5 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
13922
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17956
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
34678
412.0 IPS |
|
|
Face Detection (Q)
|
100% |
49608
589.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6340
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77569
597.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125458
980.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18780
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205659
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251854
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34408
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58207
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6662
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
