iPhone 13 Pro
Geekbench AI Score
3787
Single Precision Score
4259
Half Precision Score
3686
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
97% |
1446
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11245
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12309
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11401
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (Q)
|
91% |
1647
131.6 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4085
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8976
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7334
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18803
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21612
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4922
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3910
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
675
11.7 IPS |
