iPhone 15 Pro Max
Geekbench AI Score
3986
Single Precision Score
25542
Half Precision Score
35549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 01:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
11173
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15848
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16419
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21123
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
108184
126.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205446
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13588
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18994
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
36647
435.4 IPS |
|
|
Face Detection (Q)
|
100% |
51434
611.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7092
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78581
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128464
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21879
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206457
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
253388
327.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34230
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57713
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3417
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6570
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7473
129.2 IPS |
