iPad15,7
Geekbench AI Score
3555
Single Precision Score
22801
Half Precision Score
26707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:12 PM |
| Views | 10 |
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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
10028
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
11549
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14086
228.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19499
316.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
98007
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103872
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
12896
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14682
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31266
371.5 IPS |
|
|
Face Detection (Q)
|
100% |
39934
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75186
579.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95525
746.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18927
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
179344
230.5 IPS |
|
|
Style Transfer (Q)
|
96% |
179671
231.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32913
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38636
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2442
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7408
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8315
143.7 IPS |
