iPhone 12 Pro
Geekbench AI Score
1762
Single Precision Score
1953
Half Precision Score
1916
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
97% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1498
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
7305
8.56 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
91% |
643
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
2619
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4158
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5376
41.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4557
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12738
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13207
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12264
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1477
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3538
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
98% |
395
6.82 IPS |
