iPhone 13 Pro Max
Geekbench AI Score
3222
Single Precision Score
17022
Half Precision Score
19056
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
8182
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
10972
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7374
119.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7674
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
92135
107.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95269
111.7 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
10439
830.4 IPS |
|
|
Object Detection (Q)
|
91% |
11667
932.2 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
28631
340.2 IPS |
|
|
Face Detection (Q)
|
100% |
36329
431.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53084
409.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72809
569.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16665
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
160375
206.2 IPS |
|
|
Style Transfer (Q)
|
96% |
163052
210.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28197
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31288
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2321
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2155
37.2 IPS |
