iPad15,7
Geekbench AI Score
3586
Single Precision Score
22949
Half Precision Score
26878
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:24 AM |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
10036
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
11862
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16108
261.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19424
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7006
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
96930
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103490
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
12412
984.5 IPS |
|
|
Object Detection (Q)
|
91% |
14000
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31089
369.4 IPS |
|
|
Face Detection (Q)
|
100% |
39835
473.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6132
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74688
575.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97309
760.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19077
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181914
233.9 IPS |
|
|
Style Transfer (Q)
|
96% |
175121
226.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33164
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38113
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2730
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7330
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8347
144.2 IPS |
