iPhone 15 Pro Max
Geekbench ML Score
5995
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:12 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% |
1744
326.3 IPS |
|
|
Image Classification (F16)
|
100% |
6232
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6833
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1769
29.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1757
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14835
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82545
100.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
85132
103.1 IPS |
|
|
Object Detection (F32)
|
100% |
1577
117.7 IPS |
|
|
Object Detection (F16)
|
100% |
3871
289.0 IPS |
|
|
Object Detection (I8)
|
97% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
6246
74.3 IPS |
|
|
Face Detection (F16)
|
97% |
10433
124.1 IPS |
|
|
Face Detection (I8)
|
96% |
10459
124.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12382
96.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
38821
301.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
39260
304.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29761
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
120320
158.3 IPS |
|
|
Style Transfer (I8)
|
100% |
122900
161.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7028
251.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17499
624.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18230
651.0 IPS |
|
|
Text Classification (F32)
|
100% |
475
682.5 IPS |
|
|
Text Classification (F16)
|
100% |
489
703.2 IPS |
|
|
Text Classification (I8)
|
96% |
302
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1545
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
687
12.6 IPS |
