iPhone 15 Pro Max
Geekbench AI Score
2657
Single Precision Score
13861
Half Precision Score
18044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Wolfe |
| Upload Date | September 06 2024 09:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
6440
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
7667
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5208
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10328
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7263
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
88207
102.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
151675
177.8 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
8161
647.3 IPS |
|
|
Object Detection (Q)
|
93% |
10023
799.8 IPS |
|
|
Face Detection (SP)
|
100% |
2184
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
11197
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
13351
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4617
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42586
328.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
63297
494.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12050
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128633
165.4 IPS |
|
|
Style Transfer (Q)
|
96% |
137833
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18389
679.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26816
990.2 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
3775
5.43 KIPS |
|
|
Text Classification (Q)
|
69% |
3863
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2520
43.6 IPS |
