iPhone 13 Pro Max
Geekbench ML Score
5468
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 03:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1754
328.2 IPS |
|
|
Image Classification (F16)
|
100% |
5722
1.07 KIPS |
|
|
Image Classification (I8)
|
99% |
5788
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
585
9.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
2868
47.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2905
48.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11053
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
77876
94.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
84475
102.3 IPS |
|
|
Object Detection (F32)
|
100% |
1478
110.4 IPS |
|
|
Object Detection (F16)
|
100% |
3848
287.3 IPS |
|
|
Object Detection (I8)
|
97% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (F16)
|
97% |
9035
107.4 IPS |
|
|
Face Detection (I8)
|
96% |
9263
110.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8717
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
25606
198.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
27467
213.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18808
24.7 IPS |
|
|
Style Transfer (F16)
|
100% |
88850
116.9 IPS |
|
|
Style Transfer (I8)
|
100% |
92026
121.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5022
179.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11823
422.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11781
420.7 IPS |
|
|
Text Classification (F32)
|
100% |
418
601.2 IPS |
|
|
Text Classification (F16)
|
100% |
870
1.25 KIPS |
|
|
Text Classification (I8)
|
96% |
868
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
928
17.1 IPS |
