iPhone 17 Pro Max
Geekbench AI Score
5188
Single Precision Score
36275
Half Precision Score
48960
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 03:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
16178
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21159
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19786
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25181
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10921
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
159839
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
299114
350.6 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17823
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25097
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
41263
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57088
678.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104467
804.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167146
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25264
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259290
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351040
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59003
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83703
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5842
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10743
185.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12082
208.8 IPS |
