iPhone 13 Pro Max
Geekbench AI Score
3296
Single Precision Score
5716
Half Precision Score
4630
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 06:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14343
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12217
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5786
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3280
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11204
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7720
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17869
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22465
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4230
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4191
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5774
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5705
98.6 IPS |
