iPad15,7
Geekbench AI Score
3578
Single Precision Score
23097
Half Precision Score
26665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 07:09 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
9765
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12428
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16344
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19325
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
98189
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105510
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12960
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14681
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
31541
374.8 IPS |
|
|
Face Detection (Q)
|
100% |
39401
468.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6114
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75057
578.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95785
748.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19012
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
180464
232.0 IPS |
|
|
Style Transfer (Q)
|
96% |
181305
234.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32770
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38296
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2032
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2257
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7479
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8260
142.7 IPS |
