iPad mini (6th generation)
Geekbench AI Score
1864
Single Precision Score
10304
Half Precision Score
10790
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
4277
795.4 IPS |
|
|
Image Classification (Q)
|
99% |
4379
816.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3806
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5374
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
63709
74.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
65866
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
99% |
5556
442.0 IPS |
|
|
Object Detection (Q)
|
93% |
6227
496.8 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
9882
117.4 IPS |
|
|
Face Detection (Q)
|
100% |
11477
136.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3207
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35410
272.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
36467
282.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9410
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
105515
135.6 IPS |
|
|
Style Transfer (Q)
|
100% |
98982
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13305
491.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14828
549.4 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2495
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2042
35.3 IPS |
