iPhone 17 Pro Max
Geekbench AI Score
5354
Single Precision Score
38162
Half Precision Score
53133
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | omerakgoz34 |
| Upload Date | March 25 2026 08:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
16320
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22705
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20141
326.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26522
429.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8857
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
155524
181.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
295921
346.8 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
17761
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
25382
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4976
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
42318
502.8 IPS |
|
|
Face Detection (Q)
|
100% |
61085
725.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8062
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104213
802.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
174673
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
22487
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259791
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
326328
421.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54472
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86830
3.21 KIPS |
|
|
Text Classification (SP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (HP)
|
100% |
10521
14.0 KIPS |
|
|
Text Classification (Q)
|
92% |
10707
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5258
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10990
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12248
211.7 IPS |
