iPhone 15 Pro Max
Geekbench AI Score
3894
Single Precision Score
25036
Half Precision Score
34965
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 15 2024 05:04 AM |
| Views | 4 |
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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
10924
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14972
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15896
257.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20908
338.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8000
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105806
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204075
239.2 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13677
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19288
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
35486
421.7 IPS |
|
|
Face Detection (Q)
|
100% |
52071
618.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79229
610.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
130104
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20733
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204728
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
245720
317.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34162
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57154
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3168
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7355
127.1 IPS |
