iPhone 13 Pro Max
Geekbench ML Score
5019
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 11:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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% |
1073
200.7 IPS |
|
|
Image Classification (F16)
|
100% |
5095
953.4 IPS |
|
|
Image Classification (I8)
|
99% |
4600
860.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1169
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1514
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10945
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
70267
85.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
75589
91.5 IPS |
|
|
Object Detection (F32)
|
100% |
1381
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
3426
255.8 IPS |
|
|
Object Detection (I8)
|
97% |
1382
103.2 IPS |
|
|
Face Detection (F32)
|
100% |
4368
51.9 IPS |
|
|
Face Detection (F16)
|
97% |
9795
116.5 IPS |
|
|
Face Detection (I8)
|
96% |
10777
128.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8614
66.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
32950
255.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
38965
302.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18561
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
98010
128.9 IPS |
|
|
Style Transfer (I8)
|
100% |
97219
127.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4600
164.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16371
584.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15696
560.6 IPS |
|
|
Text Classification (F32)
|
100% |
380
546.0 IPS |
|
|
Text Classification (F16)
|
100% |
803
1.15 KIPS |
|
|
Text Classification (I8)
|
96% |
365
523.9 IPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
534
9.83 IPS |
