iPhone 15 Pro Max
Geekbench AI Score
3729
Single Precision Score
22791
Half Precision Score
30940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | September 29 2024 10:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
11390
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15154
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12873
208.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15924
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7187
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
100926
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204034
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
13863
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19064
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33406
396.9 IPS |
|
|
Face Detection (Q)
|
100% |
49002
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78454
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
126992
992.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19365
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201274
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
258436
333.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34462
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59374
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
93% |
1210
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6066
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7413
128.1 IPS |
