iPhone 13 Pro Max
Geekbench AI Score
3255
Single Precision Score
18892
Half Precision Score
22135
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulmasen |
| Upload Date | May 08 2025 11:12 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
7948
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9758
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12096
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15527
251.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6392
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
93706
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93047
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
10394
826.8 IPS |
|
|
Object Detection (Q)
|
91% |
11885
949.6 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
25951
308.4 IPS |
|
|
Face Detection (Q)
|
100% |
36642
435.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56722
437.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72605
567.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17456
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165482
212.7 IPS |
|
|
Style Transfer (Q)
|
96% |
170838
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27093
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28451
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1875
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6953
120.2 IPS |
