iPad15,7
Geekbench AI Score
3623
Single Precision Score
21750
Half Precision Score
25254
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:51 PM |
| Views | 9 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
8975
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10631
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13824
224.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19364
313.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
96374
112.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102304
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12415
984.8 IPS |
|
|
Object Detection (Q)
|
91% |
14547
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
30088
357.5 IPS |
|
|
Face Detection (Q)
|
100% |
38123
453.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71890
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90964
711.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19099
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169518
217.9 IPS |
|
|
Style Transfer (Q)
|
96% |
175580
226.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32619
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34746
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7076
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8204
141.8 IPS |
