iPad15,7
Geekbench AI Score
3594
Single Precision Score
22820
Half Precision Score
27288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:53 AM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
9813
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12609
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14544
235.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19355
313.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6971
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
98321
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105582
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12817
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14866
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
31385
372.9 IPS |
|
|
Face Detection (Q)
|
100% |
39207
465.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74568
574.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95027
743.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19191
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
179477
230.7 IPS |
|
|
Style Transfer (Q)
|
96% |
180350
232.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33171
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38610
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2743
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7396
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8400
145.2 IPS |
