iPhone 15 Pro Max
Geekbench AI Score
4037
Single Precision Score
23925
Half Precision Score
32641
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SteveJiakai |
| Upload Date | February 19 2025 10:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
11035
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15018
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15880
257.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20863
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8843
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106143
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203595
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
13484
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18263
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33325
396.0 IPS |
|
|
Face Detection (Q)
|
100% |
49519
588.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79142
609.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126173
986.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22154
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200428
257.7 IPS |
|
|
Style Transfer (Q)
|
96% |
245679
317.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33296
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54396
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2073
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6052
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6810
117.7 IPS |
