iPhone 13 Pro Max
Geekbench AI Score
3222
Single Precision Score
5635
Half Precision Score
4559
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13755
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11718
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2714
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5623
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10981
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7500
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17260
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26762
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22290
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3474
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4230
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5729
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
