iPhone 13 Pro Max
Geekbench ML Score
4967
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 05 2024 08:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1083
202.6 IPS |
|
|
Image Classification (F16)
|
100% |
5024
940.1 IPS |
|
|
Image Classification (I8)
|
99% |
5868
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1483
24.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1548
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10757
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
73234
88.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
75450
91.4 IPS |
|
|
Object Detection (F32)
|
100% |
1352
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
3466
258.8 IPS |
|
|
Object Detection (I8)
|
97% |
1401
104.6 IPS |
|
|
Face Detection (F32)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (F16)
|
97% |
9790
116.4 IPS |
|
|
Face Detection (I8)
|
96% |
9932
118.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8766
68.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
32937
255.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
31772
246.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18665
24.6 IPS |
|
|
Style Transfer (F16)
|
100% |
94757
124.6 IPS |
|
|
Style Transfer (I8)
|
100% |
94547
124.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4075
145.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13700
489.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13983
499.4 IPS |
|
|
Text Classification (F32)
|
100% |
365
525.2 IPS |
|
|
Text Classification (F16)
|
100% |
857
1.23 KIPS |
|
|
Text Classification (I8)
|
96% |
386
555.0 IPS |
|
|
Machine Translation (F32)
|
100% |
575
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
572
10.5 IPS |
