iPhone 13
Geekbench AI Score
2931
Single Precision Score
4363
Half Precision Score
3752
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1666
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13173
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11150
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2042
162.6 IPS |
|
|
Object Detection (Q)
|
94% |
1566
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2478
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4682
36.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7673
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5750
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15658
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24602
31.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20212
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3454
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3345
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4244
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4249
73.4 IPS |
