iPhone 15 Pro Max
Geekbench AI Score
3270
Single Precision Score
23729
Half Precision Score
33406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
11751
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
16843
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15430
250.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17726
287.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
97347
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
175819
206.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
12445
987.2 IPS |
|
|
Object Detection (Q)
|
91% |
18109
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
27902
331.5 IPS |
|
|
Face Detection (Q)
|
100% |
51670
613.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6398
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78275
603.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124337
972.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163399
210.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189049
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29362
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52853
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3559
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7293
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7971
137.8 IPS |
