iPhone 13
Geekbench AI Score
3246
Single Precision Score
19117
Half Precision Score
21973
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8380
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
9316
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12388
200.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14683
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
88422
103.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94334
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
10559
839.9 IPS |
|
|
Object Detection (Q)
|
91% |
12011
959.7 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
26075
309.8 IPS |
|
|
Face Detection (Q)
|
100% |
32012
380.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5399
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52101
401.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74136
579.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17259
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
154461
198.6 IPS |
|
|
Style Transfer (Q)
|
96% |
153406
198.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27587
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28922
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6350
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
