iPad16,1
Geekbench AI Score
3933
Single Precision Score
26703
Half Precision Score
36381
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
10568
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15764
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16640
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21526
349.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7414
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
102674
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206245
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
13881
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18440
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34356
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
47254
561.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6749
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79547
612.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122150
955.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20392
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208266
267.7 IPS |
|
|
Style Transfer (Q)
|
96% |
249331
321.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4708
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34673
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57573
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5782
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6447
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6854
118.4 IPS |
