iPhone 13 Pro Max
Geekbench AI Score
3150
Single Precision Score
18684
Half Precision Score
20910
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | November 20 2024 10:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
8033
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10322
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11725
190.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13518
219.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5729
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
86111
100.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
92697
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
10376
825.4 IPS |
|
|
Object Detection (Q)
|
91% |
11231
897.4 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
26509
315.0 IPS |
|
|
Face Detection (Q)
|
100% |
32346
384.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5356
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55654
428.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
69211
540.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16284
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
148183
190.5 IPS |
|
|
Style Transfer (Q)
|
96% |
147378
190.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24929
920.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26669
984.8 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5321
92.0 IPS |
