iPhone 13 Pro
Geekbench AI Score
2193
Single Precision Score
10402
Half Precision Score
11243
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | astazyx |
| Upload Date | August 30 2024 03:51 AM |
| Views | 5 |
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% |
1191
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
3854
716.6 IPS |
|
|
Image Classification (Q)
|
99% |
5091
949.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3942
63.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3789
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5785
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
69626
81.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
75385
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
99% |
5543
441.0 IPS |
|
|
Object Detection (Q)
|
93% |
6332
505.2 IPS |
|
|
Face Detection (SP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
10518
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
12244
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3735
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35468
273.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
36808
284.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10269
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95484
122.7 IPS |
|
|
Style Transfer (Q)
|
100% |
97640
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13248
489.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14908
552.3 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2449
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2183
37.7 IPS |
