iPad15,7
Geekbench AI Score
3449
Single Precision Score
22538
Half Precision Score
25997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:24 AM |
| Views | 5 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
9417
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
11233
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13614
220.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19273
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6342
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
98430
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102684
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
12330
978.0 IPS |
|
|
Object Detection (Q)
|
91% |
14808
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
30422
361.5 IPS |
|
|
Face Detection (Q)
|
100% |
36613
435.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71844
553.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
92560
723.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18670
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
178360
229.3 IPS |
|
|
Style Transfer (Q)
|
96% |
173142
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32526
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34684
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2556
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7079
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8237
142.3 IPS |
