iPhone 13 Pro Max
Geekbench ML Score
4999
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 13 2024 09:29 AM |
| 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% |
1183
221.4 IPS |
|
|
Image Classification (F16)
|
100% |
5077
950.0 IPS |
|
|
Image Classification (I8)
|
99% |
4660
872.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1541
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10502
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
57971
70.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61524
74.5 IPS |
|
|
Object Detection (F32)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
3391
253.1 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (F16)
|
97% |
9858
117.2 IPS |
|
|
Face Detection (I8)
|
96% |
9852
117.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8875
68.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35019
271.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
38168
296.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17150
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
101379
133.4 IPS |
|
|
Style Transfer (I8)
|
100% |
94387
124.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5345
190.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14497
517.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13803
492.9 IPS |
|
|
Text Classification (F32)
|
100% |
367
527.1 IPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
367
527.1 IPS |
|
|
Machine Translation (F32)
|
100% |
576
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
577
10.6 IPS |
