iPad15,7
Geekbench AI Score
3639
Single Precision Score
22033
Half Precision Score
24949
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 02:13 AM |
| Views | 6 |
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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
9279
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10455
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14134
229.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17604
285.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6804
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
97365
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103558
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12339
978.7 IPS |
|
|
Object Detection (Q)
|
91% |
14622
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
30168
358.5 IPS |
|
|
Face Detection (Q)
|
100% |
39013
463.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6289
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74218
571.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90710
709.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18873
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
174044
223.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173778
224.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32293
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34809
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2828
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7107
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8152
140.9 IPS |
