iPhone 15 Pro Max
Geekbench AI Score
4009
Single Precision Score
25136
Half Precision Score
35496
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:21 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
10705
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15125
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15992
259.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20884
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8274
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
106006
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204199
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
13669
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19239
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34111
405.3 IPS |
|
|
Face Detection (Q)
|
100% |
52441
623.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7162
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
79243
610.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128806
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202502
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
251094
324.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35829
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58587
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3507
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7343
126.9 IPS |
