iPhone 15 Pro Max
Geekbench AI Score
4008
Single Precision Score
23675
Half Precision Score
32926
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 17 2025 09:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
11159
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14979
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15593
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20886
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8317
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
107655
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
202901
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
13818
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19028
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
33760
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
51487
611.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78167
602.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127860
999.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21638
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202938
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
244178
315.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5095
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34008
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59458
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1772
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6139
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7321
126.5 IPS |
