iPhone 15 Pro Max
Geekbench AI Score
3969
Single Precision Score
24696
Half Precision Score
34611
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | November 01 2024 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1668
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
10987
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15268
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16079
260.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20793
337.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8058
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
106025
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203304
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13642
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19058
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34223
406.6 IPS |
|
|
Face Detection (Q)
|
100% |
50573
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77846
599.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126091
985.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21360
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202500
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246271
317.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33904
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58094
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3079
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7141
123.4 IPS |
