iPhone 14
Geekbench AI Score
3308
Single Precision Score
17063
Half Precision Score
18969
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | September 10 2024 09:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
9507
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
10404
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6831
110.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7693
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
89078
103.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94197
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
11180
889.4 IPS |
|
|
Object Detection (Q)
|
91% |
12261
979.7 IPS |
|
|
Face Detection (SP)
|
100% |
2765
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
28570
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
35504
421.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5562
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52666
405.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
76240
595.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17783
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155350
199.7 IPS |
|
|
Style Transfer (Q)
|
96% |
154447
199.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26542
980.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29631
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2233
38.6 IPS |
