iPhone 13 Pro Max
Geekbench AI Score
3251
Single Precision Score
5664
Half Precision Score
4573
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:57 PM |
| 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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.0 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2456
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13980
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11759
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5670
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11033
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7568
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17465
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26913
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22160
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3915
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4075
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5654
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5791
100.1 IPS |
