iPhone 13 Pro Max
Geekbench AI Score
2120
Single Precision Score
12335
Half Precision Score
15285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 08:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
7844
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9667
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11574
187.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13210
214.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
42249
49.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
48783
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.9 IPS |
|
|
Object Detection (HP)
|
99% |
7197
572.5 IPS |
|
|
Object Detection (Q)
|
91% |
7750
619.3 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
16005
190.2 IPS |
|
|
Face Detection (Q)
|
100% |
22444
266.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3215
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28027
215.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47051
367.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8439
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118008
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
132875
171.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12954
478.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27463
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3266
56.4 IPS |
