iPhone 13
Geekbench AI Score
3246
Single Precision Score
18997
Half Precision Score
21126
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1334
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
8866
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
9816
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11750
190.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13383
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
88077
102.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94256
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
11049
879.0 IPS |
|
|
Object Detection (Q)
|
91% |
12144
970.4 IPS |
|
|
Face Detection (SP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
27398
325.6 IPS |
|
|
Face Detection (Q)
|
100% |
32499
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
53364
411.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
74146
579.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16952
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155854
200.4 IPS |
|
|
Style Transfer (Q)
|
96% |
151673
195.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26317
971.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27513
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2321
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5048
87.2 IPS |
