iPhone 13 Pro Max
Geekbench AI Score
2965
Single Precision Score
4445
Half Precision Score
3693
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | davelive |
| Upload Date | August 29 2024 06:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1790
332.8 IPS |
|
|
Image Classification (Q)
|
99% |
1776
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1129
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12991
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11204
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2088
166.2 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2534
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8003
61.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4067
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16109
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25419
32.7 IPS |
|
|
Style Transfer (Q)
|
100% |
25251
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3425
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3359
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4336
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4395
75.9 IPS |
