iPhone 15 Pro Max
Geekbench ML Score
7592
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 06:32 AM |
| Views | 2 |
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% |
1439
269.3 IPS |
|
|
Image Classification (F16)
|
100% |
6124
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6648
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1807
30.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1789
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14554
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
85840
103.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84044
101.8 IPS |
|
|
Object Detection (F32)
|
100% |
1714
128.0 IPS |
|
|
Object Detection (F16)
|
100% |
3694
275.8 IPS |
|
|
Object Detection (I8)
|
97% |
1754
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
6255
74.4 IPS |
|
|
Face Detection (F16)
|
97% |
12554
149.3 IPS |
|
|
Face Detection (I8)
|
96% |
12484
148.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12088
93.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
36234
281.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
51702
400.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27673
36.4 IPS |
|
|
Style Transfer (F16)
|
100% |
115915
152.5 IPS |
|
|
Style Transfer (I8)
|
100% |
111615
146.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7041
251.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17308
618.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17872
638.3 IPS |
|
|
Text Classification (F32)
|
100% |
2975
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5029
7.23 KIPS |
|
|
Text Classification (I8)
|
96% |
5091
7.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
643
11.8 IPS |
