iPhone 13 Pro Max
Geekbench AI Score
3281
Single Precision Score
5688
Half Precision Score
4618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bishab |
| Upload Date | December 10 2024 08:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6639
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14367
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12164
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2757
219.5 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3261
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11193
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7623
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17814
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27067
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22512
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3476
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5714
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5772
99.7 IPS |
