iPhone 13 Pro Max
Geekbench AI Score
3784
Single Precision Score
4272
Half Precision Score
3780
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
1537
285.9 IPS |
|
|
Image Classification (Q)
|
97% |
1430
266.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11237
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12198
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11353
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
91% |
1633
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
4766
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9104
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7567
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18817
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23355
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21686
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4136
152.7 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4211
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
799
13.8 IPS |
