iPhone 15 Pro Max
Geekbench AI Score
3426
Single Precision Score
24805
Half Precision Score
35385
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1548
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
11316
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15721
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16313
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20913
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6185
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
95663
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
189706
222.3 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
13772
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19352
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
36455
433.2 IPS |
|
|
Face Detection (Q)
|
100% |
52764
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76850
592.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124589
974.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17463
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190789
245.3 IPS |
|
|
Style Transfer (Q)
|
96% |
256807
331.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3983
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32628
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55706
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3432
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6382
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7902
136.6 IPS |
