iPhone 13 Pro Max
Geekbench AI Score
3242
Single Precision Score
19143
Half Precision Score
21830
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 01:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
8101
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
8196
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12846
208.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15273
247.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
92039
107.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
94496
110.8 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
10380
825.7 IPS |
|
|
Object Detection (Q)
|
91% |
11934
953.6 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
29400
349.3 IPS |
|
|
Face Detection (Q)
|
100% |
37170
441.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56994
439.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
73169
571.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17251
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
154287
198.3 IPS |
|
|
Style Transfer (Q)
|
96% |
151907
196.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26235
968.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27441
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
