iPhone 13
Geekbench AI Score
3290
Single Precision Score
19352
Half Precision Score
22244
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
8248
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
9879
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12201
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14126
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
86119
100.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93397
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
99% |
11056
879.5 IPS |
|
|
Object Detection (Q)
|
91% |
11536
921.8 IPS |
|
|
Face Detection (SP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
25807
306.6 IPS |
|
|
Face Detection (Q)
|
100% |
33416
397.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52422
403.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
78050
609.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17617
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
154116
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
159145
205.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26662
984.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28518
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2347
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7103
122.7 IPS |
