iPhone 13 Pro
Geekbench AI Score
3651
Single Precision Score
4156
Half Precision Score
3582
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | astazyx |
| Upload Date | September 14 2024 09:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
1648
306.5 IPS |
|
|
Image Classification (Q)
|
97% |
1355
252.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2493
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11313
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12389
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11243
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
91% |
1563
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7010
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18864
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20578
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18770
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3937
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
689
11.9 IPS |
