iPhone 13 Pro Max
Geekbench AI Score
3213
Single Precision Score
18900
Half Precision Score
21616
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 11:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
8169
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
9153
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12039
195.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13445
217.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5815
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
85039
99.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
92508
108.4 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
99% |
10086
802.3 IPS |
|
|
Object Detection (Q)
|
91% |
11679
933.2 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
25480
302.8 IPS |
|
|
Face Detection (Q)
|
100% |
32398
385.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
54700
421.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
72925
569.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17609
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150818
193.9 IPS |
|
|
Style Transfer (Q)
|
96% |
149055
192.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26141
965.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28561
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6004
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
