iPhone 13
Geekbench AI Score
3095
Single Precision Score
19334
Half Precision Score
20831
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 03:36 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 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
8185
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
9342
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13095
212.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14113
228.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5629
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
81776
95.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
82710
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
10431
829.7 IPS |
|
|
Object Detection (Q)
|
91% |
11934
953.6 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28679
340.8 IPS |
|
|
Face Detection (Q)
|
100% |
36188
430.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5079
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58380
449.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
64492
504.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16608
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150968
194.1 IPS |
|
|
Style Transfer (Q)
|
96% |
138995
179.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28423
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30596
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (Q)
|
93% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6432
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7459
128.9 IPS |
