iPhone 15 Pro Max
Geekbench AI Score
3951
Single Precision Score
24176
Half Precision Score
32348
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | September 26 2024 06:01 AM |
| Views | 6 |
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% |
1723
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
11347
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15377
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15681
254.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20911
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7910
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
106611
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
205525
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13941
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19407
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34547
410.5 IPS |
|
|
Face Detection (Q)
|
100% |
50461
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78920
608.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
129022
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21140
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204889
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
248800
321.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34936
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58547
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2020
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
1402
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
