iPhone 13 Pro
Geekbench AI Score
3318
Single Precision Score
16236
Half Precision Score
18742
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 09:04 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
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
7918
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
11014
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7529
122.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8320
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
85563
99.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93744
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
99% |
10248
815.2 IPS |
|
|
Object Detection (Q)
|
91% |
11609
927.6 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
25586
304.0 IPS |
|
|
Face Detection (Q)
|
100% |
32496
386.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5567
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52451
404.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
75215
587.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17879
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152068
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
152488
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26146
965.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28945
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2237
38.7 IPS |
