iPhone 13 Pro Max
Geekbench AI Score
2156
Single Precision Score
10235
Half Precision Score
11922
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
4212
783.2 IPS |
|
|
Image Classification (Q)
|
96% |
5061
945.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3855
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5983
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
70308
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65500
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (HP)
|
99% |
4829
384.2 IPS |
|
|
Object Detection (Q)
|
93% |
6461
515.6 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
10466
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
12159
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3675
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34155
263.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
44173
345.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10083
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
99912
128.4 IPS |
|
|
Style Transfer (Q)
|
95% |
97703
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3008
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12711
469.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15353
566.9 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2635
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2133
36.9 IPS |
