iPhone 13
Geekbench AI Score
3042
Single Precision Score
4505
Half Precision Score
3865
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | black_michael |
| Upload Date | December 08 2024 06:46 AM |
| Views | 12 |
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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
1794
333.6 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13663
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11608
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2151
171.2 IPS |
|
|
Object Detection (Q)
|
94% |
1625
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2593
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5063
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8115
62.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6136
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16397
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25360
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21056
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3389
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4311
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4316
74.6 IPS |
