iPhone 13 mini
Geekbench AI Score
3038
Single Precision Score
20226
Half Precision Score
22313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1267
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
8986
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10636
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13783
223.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15062
244.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
79894
93.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
82401
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
99% |
11094
882.5 IPS |
|
|
Object Detection (Q)
|
91% |
12109
967.6 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
28395
337.4 IPS |
|
|
Face Detection (Q)
|
100% |
36462
433.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4947
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56289
433.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
77912
608.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15805
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150133
193.0 IPS |
|
|
Style Transfer (Q)
|
96% |
142496
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28549
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27006
997.2 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2421
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6366
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
