iPad15,7
Geekbench AI Score
3641
Single Precision Score
22980
Half Precision Score
26236
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
8473
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
11606
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16337
264.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19446
315.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
97194
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103370
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12619
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14093
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
30353
360.7 IPS |
|
|
Face Detection (Q)
|
100% |
38540
457.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6200
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72291
557.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
88911
695.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18987
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
174504
224.3 IPS |
|
|
Style Transfer (Q)
|
96% |
175065
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33250
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35258
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (Q)
|
93% |
2712
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7054
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8196
141.6 IPS |
