iPhone 13 Pro Max
Geekbench ML Score
5147
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 09:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
1180
220.7 IPS |
|
|
Image Classification (F16)
|
100% |
5162
965.9 IPS |
|
|
Image Classification (I8)
|
99% |
5852
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1530
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10400
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
70664
85.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
73365
88.8 IPS |
|
|
Object Detection (F32)
|
100% |
1783
133.1 IPS |
|
|
Object Detection (F16)
|
100% |
3469
259.0 IPS |
|
|
Object Detection (I8)
|
97% |
1684
125.7 IPS |
|
|
Face Detection (F32)
|
100% |
4384
52.1 IPS |
|
|
Face Detection (F16)
|
97% |
10166
120.9 IPS |
|
|
Face Detection (I8)
|
96% |
9888
117.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8568
66.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
33245
257.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
31859
247.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17041
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
95203
125.2 IPS |
|
|
Style Transfer (I8)
|
100% |
98965
130.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5094
181.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14331
511.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14101
503.6 IPS |
|
|
Text Classification (F32)
|
100% |
550
790.5 IPS |
|
|
Text Classification (F16)
|
100% |
792
1.14 KIPS |
|
|
Text Classification (I8)
|
96% |
372
534.9 IPS |
|
|
Machine Translation (F32)
|
100% |
574
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1169
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
564
10.4 IPS |
