iPhone 13 Pro Max
Geekbench AI Score
3302
Single Precision Score
19907
Half Precision Score
23499
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | March 08 2025 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
7509
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
10262
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12228
198.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15193
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6582
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
88677
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95874
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10345
822.9 IPS |
|
|
Object Detection (Q)
|
91% |
12824
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
29774
353.8 IPS |
|
|
Face Detection (Q)
|
100% |
37621
447.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56593
436.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
73373
573.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17863
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162722
209.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171166
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26485
978.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31198
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2536
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7166
123.8 IPS |
