iPhone 15 Pro Max
Geekbench AI Score
3933
Single Precision Score
25377
Half Precision Score
35565
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 01:20 AM |
| Views | 3 |
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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
11110
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15634
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16397
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21334
345.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7836
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
106025
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
207862
243.6 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13888
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18907
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33753
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
51457
611.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7008
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78484
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129249
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21378
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207000
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
256053
330.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33425
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56990
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3427
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6454
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7428
128.4 IPS |
