iPhone 14
Geekbench AI Score
3093
Single Precision Score
3226
Half Precision Score
3158
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RafaelReverberi |
| Upload Date | November 10 2024 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (Q)
|
97% |
990
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11359
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11501
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
1319
104.7 IPS |
|
|
Object Detection (Q)
|
91% |
1192
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
4887
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8437
65.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7241
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19032
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22751
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21346
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3051
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
98% |
371
6.42 IPS |
