iPhone 13
Geekbench AI Score
3020
Single Precision Score
20439
Half Precision Score
23654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 02:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
8381
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
11263
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13153
213.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15094
244.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
90352
105.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95087
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
10941
870.3 IPS |
|
|
Object Detection (Q)
|
91% |
12103
967.1 IPS |
|
|
Face Detection (SP)
|
100% |
2605
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
28535
339.1 IPS |
|
|
Face Detection (Q)
|
100% |
36452
433.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4906
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58462
450.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
82214
642.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15210
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157841
202.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171908
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27112
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28975
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2587
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6517
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7258
125.4 IPS |
