iPad15,7
Geekbench AI Score
3661
Single Precision Score
23384
Half Precision Score
25746
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:36 PM |
| Views | 5 |
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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
9777
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12063
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15874
257.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19263
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
100241
117.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102580
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
12789
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
15008
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
30719
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
39320
467.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6270
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73303
564.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
91153
712.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19132
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173949
223.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173946
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34345
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38566
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1751
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7446
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8498
146.9 IPS |
