iPhone 13 Pro Max
Geekbench AI Score
2928
Single Precision Score
4426
Half Precision Score
3659
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jdbartram44 |
| Upload Date | August 15 2024 05:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
99% |
1754
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13279
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11059
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2078
165.5 IPS |
|
|
Object Detection (Q)
|
94% |
1580
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2537
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4767
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7878
60.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4022
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15509
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25323
32.6 IPS |
|
|
Style Transfer (Q)
|
100% |
25129
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3437
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3340
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4263
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4278
73.9 IPS |
