iPad15,7
Geekbench AI Score
3571
Single Precision Score
23097
Half Precision Score
27360
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 01 2025 05:05 PM |
| Views | 4 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
10075
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
12141
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19304
312.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
97410
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103831
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
12789
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14464
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31495
374.2 IPS |
|
|
Face Detection (Q)
|
100% |
39254
466.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75043
578.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
95140
743.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
179862
231.2 IPS |
|
|
Style Transfer (Q)
|
96% |
180992
233.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33050
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37429
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3202
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7234
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8246
142.5 IPS |
