iPhone 15 Pro Max
Geekbench AI Score
3954
Single Precision Score
23855
Half Precision Score
32882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 31 2025 09:52 AM |
| Views | 6 |
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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
11267
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15363
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15604
253.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20806
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8057
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
105890
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203634
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
13609
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18788
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33655
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
50142
595.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7059
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78190
602.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127890
999.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21219
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200778
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
244085
315.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35890
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57658
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
1862
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5973
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7191
124.3 IPS |
