iPhone 13 Pro Max
Geekbench AI Score
2939
Single Precision Score
4453
Half Precision Score
3694
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | janhammerich |
| Upload Date | August 17 2024 07:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (Q)
|
99% |
1754
327.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1092
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
13011
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11100
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2072
164.9 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
2510
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4803
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7778
60.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4003
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16168
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25028
32.2 IPS |
|
|
Style Transfer (Q)
|
100% |
25231
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3484
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4323
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4361
75.4 IPS |
