iPad16,1
Geekbench AI Score
3721
Single Precision Score
26478
Half Precision Score
36192
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
10962
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15332
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15748
255.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21696
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7080
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
104084
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203436
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
13939
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17863
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34720
412.5 IPS |
|
|
Face Detection (Q)
|
100% |
47499
564.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6270
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77704
598.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122202
955.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18432
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209051
268.7 IPS |
|
|
Style Transfer (Q)
|
96% |
251413
324.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34233
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55076
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5335
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7489
129.4 IPS |
