iPhone 15 Pro Max
Geekbench ML Score
6059
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 08:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1660
310.7 IPS |
|
|
Image Classification (F16)
|
100% |
6183
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6768
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1368
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
29.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1725
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14529
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
83580
101.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
83577
101.2 IPS |
|
|
Object Detection (F32)
|
100% |
2403
179.4 IPS |
|
|
Object Detection (F16)
|
100% |
3887
290.2 IPS |
|
|
Object Detection (I8)
|
97% |
1859
138.8 IPS |
|
|
Face Detection (F32)
|
100% |
6313
75.1 IPS |
|
|
Face Detection (F16)
|
97% |
10514
125.0 IPS |
|
|
Face Detection (I8)
|
96% |
10493
124.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12216
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37564
291.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
39404
305.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27537
36.2 IPS |
|
|
Style Transfer (F16)
|
100% |
120928
159.1 IPS |
|
|
Style Transfer (I8)
|
100% |
121783
160.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6877
245.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17768
634.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18624
665.1 IPS |
|
|
Text Classification (F32)
|
100% |
448
643.3 IPS |
|
|
Text Classification (F16)
|
100% |
476
684.4 IPS |
|
|
Text Classification (I8)
|
96% |
298
428.9 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1558
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
675
12.4 IPS |
