iPhone 15 Pro Max
Geekbench AI Score
4182
Single Precision Score
4732
Half Precision Score
4381
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 04 2024 05:47 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (Q)
|
99% |
2650
494.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14785
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16228
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14637
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (Q)
|
92% |
2374
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
8795
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
6153
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11690
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12814
98.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13324
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29277
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34293
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34330
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6164
227.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6641
245.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5375
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.8 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.6 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1564
27.0 IPS |
