iPhone 13 Pro
Geekbench AI Score
3302
Single Precision Score
17450
Half Precision Score
19010
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
9526
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
9988
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7448
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8478
137.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6379
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
91658
107.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
94406
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
99% |
10882
865.7 IPS |
|
|
Object Detection (Q)
|
91% |
11732
937.4 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28475
338.3 IPS |
|
|
Face Detection (Q)
|
100% |
35401
420.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56513
435.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
80147
626.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17919
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150362
193.3 IPS |
|
|
Style Transfer (Q)
|
96% |
153588
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28276
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28587
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2327
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2268
39.2 IPS |
