iPhone 13 Pro Max
Geekbench AI Score
3312
Single Precision Score
16774
Half Precision Score
18945
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 14 2024 10:46 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
8053
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10326
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6869
111.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7735
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
84584
98.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93431
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
10275
817.3 IPS |
|
|
Object Detection (Q)
|
91% |
12244
978.3 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
28319
336.5 IPS |
|
|
Face Detection (Q)
|
100% |
37311
443.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55410
426.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
73006
570.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17963
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156867
201.7 IPS |
|
|
Style Transfer (Q)
|
96% |
155421
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27026
998.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28960
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2280
39.4 IPS |
