iPhone 13
Geekbench AI Score
1955
Single Precision Score
10895
Half Precision Score
11702
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | black_michael |
| Upload Date | December 08 2024 07:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
978
181.9 IPS |
|
|
Image Classification (HP)
|
100% |
4134
768.8 IPS |
|
|
Image Classification (Q)
|
96% |
4834
902.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3760
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5692
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5384
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
75269
87.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
73618
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (HP)
|
99% |
6735
535.7 IPS |
|
|
Object Detection (Q)
|
93% |
6696
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
10485
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
11669
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3389
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37264
287.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
41384
323.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9802
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
109940
141.3 IPS |
|
|
Style Transfer (Q)
|
95% |
87268
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12998
479.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15354
566.9 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2536
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2555
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2148
37.1 IPS |
