iPhone 13 Pro Max
Geekbench AI Score
2956
Single Precision Score
5103
Half Precision Score
4141
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
230.9 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (Q)
|
96% |
1484
277.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2208
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
12091
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10260
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
2427
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
2779
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4839
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9913
76.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6794
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15112
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24132
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19896
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3546
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4338
160.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3189
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5256
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5417
93.6 IPS |
