iPhone 15 Pro Max
Geekbench ML Score
6096
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1743
326.2 IPS |
|
|
Image Classification (F16)
|
100% |
6268
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6850
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1369
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1740
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1779
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14499
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82099
99.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
86457
104.7 IPS |
|
|
Object Detection (F32)
|
100% |
1492
111.4 IPS |
|
|
Object Detection (F16)
|
100% |
3859
288.1 IPS |
|
|
Object Detection (I8)
|
97% |
2343
174.9 IPS |
|
|
Face Detection (F32)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (F16)
|
97% |
10519
125.1 IPS |
|
|
Face Detection (I8)
|
96% |
10460
124.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12143
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38014
294.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
40172
311.5 IPS |
|
|
Style Transfer (F32)
|
100% |
27730
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
123049
161.9 IPS |
|
|
Style Transfer (I8)
|
100% |
122343
160.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6818
243.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17817
636.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18471
659.7 IPS |
|
|
Text Classification (F32)
|
100% |
596
856.6 IPS |
|
|
Text Classification (F16)
|
100% |
485
696.6 IPS |
|
|
Text Classification (I8)
|
96% |
296
425.7 IPS |
|
|
Machine Translation (F32)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
678
12.5 IPS |
