iPhone 13 Pro Max
Geekbench AI Score
3266
Single Precision Score
19852
Half Precision Score
21825
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Farzad |
| Upload Date | February 19 2025 11:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
8073
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
9797
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12334
199.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13921
225.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
87409
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93490
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
11064
880.1 IPS |
|
|
Object Detection (Q)
|
91% |
11391
910.2 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
27855
331.0 IPS |
|
|
Face Detection (Q)
|
100% |
33144
393.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55076
424.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73929
577.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17714
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
157972
203.1 IPS |
|
|
Style Transfer (Q)
|
96% |
160567
207.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4020
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27003
997.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29486
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2055
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7082
122.4 IPS |
