iPhone 13 Pro Max
Geekbench ML Score
5123
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 06:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1076
201.4 IPS |
|
|
Image Classification (F16)
|
100% |
5306
993.0 IPS |
|
|
Image Classification (I8)
|
99% |
4798
897.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1541
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1515
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10456
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
77833
94.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62005
75.1 IPS |
|
|
Object Detection (F32)
|
100% |
1375
102.7 IPS |
|
|
Object Detection (F16)
|
100% |
3744
279.5 IPS |
|
|
Object Detection (I8)
|
97% |
1703
127.2 IPS |
|
|
Face Detection (F32)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (F16)
|
97% |
10278
122.2 IPS |
|
|
Face Detection (I8)
|
96% |
10109
120.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8712
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
35468
275.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
38430
298.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17031
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
95304
125.4 IPS |
|
|
Style Transfer (I8)
|
100% |
100360
132.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5194
185.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13896
496.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13930
497.5 IPS |
|
|
Text Classification (F32)
|
100% |
368
528.5 IPS |
|
|
Text Classification (F16)
|
100% |
918
1.32 KIPS |
|
|
Text Classification (I8)
|
96% |
489
702.2 IPS |
|
|
Machine Translation (F32)
|
100% |
568
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
582
10.7 IPS |
