iPhone 13 Pro Max
Geekbench AI Score
3762
Single Precision Score
4199
Half Precision Score
3708
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 04:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.5 IPS |
|
|
Image Classification (Q)
|
97% |
1462
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2486
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11446
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12201
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11362
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
2013
159.7 IPS |
|
|
Object Detection (Q)
|
91% |
1626
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
4077
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8941
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7330
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18708
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23322
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21737
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4849
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3846
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
716
12.4 IPS |
