iPhone 13 Pro Max
Geekbench ML Score
4943
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2024 02:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1058
198.0 IPS |
|
|
Image Classification (F16)
|
100% |
5381
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
4541
849.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1176
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1525
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1514
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10819
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
65364
79.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61748
74.8 IPS |
|
|
Object Detection (F32)
|
100% |
1388
103.6 IPS |
|
|
Object Detection (F16)
|
100% |
3438
256.7 IPS |
|
|
Object Detection (I8)
|
97% |
1441
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (F16)
|
97% |
9804
116.6 IPS |
|
|
Face Detection (I8)
|
96% |
10065
119.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8813
68.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
33496
259.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
32866
254.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18654
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
101273
133.2 IPS |
|
|
Style Transfer (I8)
|
100% |
100797
132.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4069
145.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13835
494.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14405
514.4 IPS |
|
|
Text Classification (F32)
|
100% |
383
551.1 IPS |
|
|
Text Classification (F16)
|
100% |
851
1.22 KIPS |
|
|
Text Classification (I8)
|
96% |
375
538.5 IPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
570
10.5 IPS |
