iPhone 13
Geekbench AI Score
2909
Single Precision Score
4385
Half Precision Score
3588
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | deutros |
| Upload Date | August 16 2024 01:07 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.3 IPS |
|
|
Image Classification (Q)
|
99% |
1783
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1117
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
12818
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10676
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
97% |
2007
159.8 IPS |
|
|
Object Detection (Q)
|
94% |
1540
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (Q)
|
100% |
2375
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4545
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7631
59.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3447
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15407
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24244
31.2 IPS |
|
|
Style Transfer (Q)
|
100% |
24331
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3348
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4539
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3347
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4182
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4272
73.8 IPS |
