iPhone 13 Pro Max
Geekbench AI Score
3323
Single Precision Score
5774
Half Precision Score
4661
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 09:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14422
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12160
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2755
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5732
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3249
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11198
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7669
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18040
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27588
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22805
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4263
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5764
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5776
99.8 IPS |
