iPhone 15 Pro Max
Geekbench AI Score
3901
Single Precision Score
24499
Half Precision Score
34140
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 09:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
10810
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15167
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12968
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16365
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105682
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203466
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13842
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19156
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33500
398.1 IPS |
|
|
Face Detection (Q)
|
100% |
49119
583.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78552
605.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126876
992.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203563
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
248457
320.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34116
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60060
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3312
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6163
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7219
124.8 IPS |
