iPad15,7
Geekbench AI Score
3577
Single Precision Score
23172
Half Precision Score
26678
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:36 PM |
| Views | 12 |
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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
11727
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16405
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19286
312.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6808
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
96307
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103103
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
12792
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14670
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31515
374.5 IPS |
|
|
Face Detection (Q)
|
100% |
39221
466.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6027
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74956
577.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95633
747.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18781
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
179673
231.0 IPS |
|
|
Style Transfer (Q)
|
96% |
177364
228.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32710
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38611
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2491
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7535
129.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8344
144.2 IPS |
