iPhone 13 Pro Max
Geekbench AI Score
3196
Single Precision Score
5597
Half Precision Score
4525
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 08:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1615
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5890
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13400
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11308
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3153
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10996
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7472
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26518
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22072
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5636
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5654
97.7 IPS |
