iPhone 13 Pro Max
Geekbench AI Score
3245
Single Precision Score
19501
Half Precision Score
21970
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:49 AM |
| Views | 4 |
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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
7919
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10227
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12340
200.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13970
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
84375
98.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94204
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
99% |
10347
823.1 IPS |
|
|
Object Detection (Q)
|
91% |
11831
945.3 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
28939
343.9 IPS |
|
|
Face Detection (Q)
|
100% |
33168
394.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52095
401.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
70663
552.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17676
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152345
195.8 IPS |
|
|
Style Transfer (Q)
|
96% |
151082
195.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29136
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27558
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2479
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6100
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6802
117.6 IPS |
