iPhone 13 mini
Geekbench AI Score
3262
Single Precision Score
19878
Half Precision Score
22841
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 10 2025 05:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
9110
1.69 KIPS |
|
|
Image Classification (Q)
|
96% |
9693
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12245
198.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14526
235.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6209
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
87199
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93541
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
11071
880.7 IPS |
|
|
Object Detection (Q)
|
91% |
12251
978.9 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
26385
313.5 IPS |
|
|
Face Detection (Q)
|
100% |
33140
393.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53220
410.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
74938
585.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17458
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
152503
196.0 IPS |
|
|
Style Transfer (Q)
|
96% |
154753
199.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27964
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35002
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6644
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7493
129.5 IPS |
