iPhone 13
Geekbench AI Score
3222
Single Precision Score
20735
Half Precision Score
23132
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 05:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
7926
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10437
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13665
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14777
239.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6257
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
88134
102.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94238
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
11294
898.4 IPS |
|
|
Object Detection (Q)
|
91% |
11517
920.2 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28463
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36457
433.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5263
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59462
458.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
74885
585.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15942
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164064
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169146
218.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28206
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29882
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2541
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6896
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7474
129.2 IPS |
