iPhone 14
Geekbench AI Score
2855
Single Precision Score
3297
Half Precision Score
2935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 02:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (Q)
|
97% |
549
102.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11259
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12315
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11462
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (Q)
|
91% |
1174
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8629
66.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7417
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19042
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22712
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21161
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2826
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (Q)
|
98% |
371
6.41 IPS |
