iPhone 15 Pro Max
Geekbench AI Score
4936
Single Precision Score
5924
Half Precision Score
5208
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 22 2024 11:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2185
406.3 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.3 IPS |
|
|
Image Classification (Q)
|
97% |
2025
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3724
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13053
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13903
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13139
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (Q)
|
91% |
2296
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
6267
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5919
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10867
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11778
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10209
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26889
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32172
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29817
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6180
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4813
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1366
23.6 IPS |
