iPad15,7
Geekbench AI Score
3584
Single Precision Score
23190
Half Precision Score
27144
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
9577
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
11787
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16315
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19310
313.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
103344
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104996
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12784
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14544
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31515
374.5 IPS |
|
|
Face Detection (Q)
|
100% |
39232
466.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6130
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75254
579.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95842
749.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19017
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
176846
227.3 IPS |
|
|
Style Transfer (Q)
|
96% |
180731
233.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33068
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38281
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2065
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2875
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7610
131.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8354
144.4 IPS |
