iPhone 13 Pro
Geekbench AI Score
2553
Single Precision Score
4156
Half Precision Score
3517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tellumo |
| Upload Date | September 20 2024 12:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2376
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13040
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7850
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
97% |
2225
177.1 IPS |
|
|
Object Detection (Q)
|
94% |
1568
125.0 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2167
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3278
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8026
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4921
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9736
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13858
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
13853
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2564
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2633
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3315
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4032
69.7 IPS |
