iPhone 13 Pro Max
Geekbench AI Score
3760
Single Precision Score
4263
Half Precision Score
3743
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:54 AM |
| Views | 1 |
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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (Q)
|
97% |
1447
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11265
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12243
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11378
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (Q)
|
91% |
1637
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
6100
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8461
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8937
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7468
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18837
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23306
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21654
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3822
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.1 IPS |
