iPhone 14
Geekbench AI Score
2602
Single Precision Score
2830
Half Precision Score
2464
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | somata |
| Upload Date | August 20 2024 05:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (Q)
|
99% |
618
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11136
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12172
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10956
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
92% |
1209
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
3684
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8172
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8899
68.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
9108
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18778
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22644
29.1 IPS |
|
|
Style Transfer (Q)
|
100% |
22656
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3533
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2992
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.0 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.9 IPS |
|
|
Text Classification (Q)
|
93% |
223
299.9 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
819
14.2 IPS |
