iPad15,7
Geekbench AI Score
3429
Single Precision Score
22478
Half Precision Score
25881
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
8898
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
11002
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13875
224.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19183
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
97766
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102353
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12463
988.6 IPS |
|
|
Object Detection (Q)
|
91% |
14874
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
27786
330.2 IPS |
|
|
Face Detection (Q)
|
100% |
37439
444.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73075
563.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89188
697.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18429
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170559
219.3 IPS |
|
|
Style Transfer (Q)
|
96% |
174656
225.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3853
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33346
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34765
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2523
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7138
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8206
141.8 IPS |
