iPhone 15 Pro Max
Geekbench ML Score
9138
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 15 2024 06:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1694
316.9 IPS |
|
|
Image Classification (F16)
|
100% |
10305
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
12165
2.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1624
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2043
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14882
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
96310
116.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96923
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
1546
115.5 IPS |
|
|
Object Detection (F16)
|
100% |
6262
467.5 IPS |
|
|
Object Detection (I8)
|
97% |
1822
136.0 IPS |
|
|
Face Detection (F32)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (F16)
|
97% |
19561
232.6 IPS |
|
|
Face Detection (I8)
|
96% |
19483
231.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12661
98.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
60328
467.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
64666
501.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29751
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
132380
174.1 IPS |
|
|
Style Transfer (I8)
|
100% |
129455
170.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7380
263.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33078
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38378
1.37 KIPS |
|
|
Text Classification (F32)
|
100% |
2943
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
5198
7.47 KIPS |
|
|
Text Classification (I8)
|
96% |
5171
7.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
634
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1658
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
