iPhone 15 Pro Max
Geekbench AI Score
3933
Single Precision Score
24339
Half Precision Score
34135
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | October 07 2024 05:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
10769
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15332
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12914
209.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16024
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7865
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
106490
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203957
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13670
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19288
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34358
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
50408
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7070
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78538
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
129197
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20653
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203714
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247445
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4827
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33935
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57552
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3186
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6202
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7522
130.0 IPS |
