iPhone 13 Pro Max
Geekbench AI Score
2189
Single Precision Score
10515
Half Precision Score
11113
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1182
219.8 IPS |
|
|
Image Classification (HP)
|
100% |
4483
833.7 IPS |
|
|
Image Classification (Q)
|
99% |
4561
850.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3836
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
68895
80.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
74457
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
99% |
5407
430.1 IPS |
|
|
Object Detection (Q)
|
93% |
6294
502.2 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
10407
123.7 IPS |
|
|
Face Detection (Q)
|
100% |
12272
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3814
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35818
276.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
36662
283.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10249
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98317
126.4 IPS |
|
|
Style Transfer (Q)
|
100% |
100558
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3102
114.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13094
483.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15412
571.0 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2148
37.1 IPS |
