iPhone 13 Pro Max
Geekbench AI Score
3307
Single Precision Score
19290
Half Precision Score
21749
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 07:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
9412
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
10720
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12816
207.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14482
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
88671
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94129
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
99% |
11064
880.1 IPS |
|
|
Object Detection (Q)
|
91% |
11148
890.7 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
26170
311.0 IPS |
|
|
Face Detection (Q)
|
100% |
34068
404.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5545
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55372
426.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75182
587.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17925
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163180
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
154855
199.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26423
975.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28313
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5475
94.6 IPS |
