iPhone 17 Pro Max
Geekbench AI Score
4838
Single Precision Score
35064
Half Precision Score
47319
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 08 2026 08:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
16473
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22116
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19985
324.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24647
399.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9415
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
147867
172.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
285412
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
17315
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25549
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40846
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
49608
589.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104247
803.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
155112
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22555
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
220597
283.6 IPS |
|
|
Style Transfer (Q)
|
96% |
310728
401.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52396
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81371
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10562
181.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11512
198.9 IPS |
