iPhone 13 Pro
Geekbench AI Score
2134
Single Precision Score
10515
Half Precision Score
11598
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 04:42 PM |
| Views | 14 |
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 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
4521
840.7 IPS |
|
|
Image Classification (Q)
|
96% |
4757
888.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3808
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6187
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
69651
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
75356
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
99% |
5631
448.0 IPS |
|
|
Object Detection (Q)
|
93% |
6402
510.8 IPS |
|
|
Face Detection (SP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
10637
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
12367
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3585
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35430
273.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40517
316.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10177
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99379
127.8 IPS |
|
|
Style Transfer (Q)
|
95% |
80004
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13354
493.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14891
549.9 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2422
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2146
37.1 IPS |
