iPhone 15 Pro Max
Geekbench AI Score
3928
Single Precision Score
25121
Half Precision Score
34670
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | October 22 2024 12:22 AM |
| Views | 7 |
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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
11805
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
15392
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15961
258.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20887
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7891
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
105638
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203757
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
13599
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19299
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
35389
420.5 IPS |
|
|
Face Detection (Q)
|
100% |
50353
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6998
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78759
606.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128287
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20847
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202515
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246840
318.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34123
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58628
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2985
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
