iPhone 13 Pro Max
Geekbench AI Score
3689
Single Precision Score
4169
Half Precision Score
3598
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (Q)
|
97% |
1372
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11247
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12252
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11150
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
91% |
1554
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8985
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6995
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18777
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23236
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21585
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3839
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
673
11.6 IPS |
