iPhone 17 Pro Max
Geekbench AI Score
5183
Single Precision Score
36266
Half Precision Score
50226
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vuthi |
| Upload Date | February 20 2026 08:15 AM |
| Views | 7 |
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% |
2371
440.9 IPS |
|
|
Image Classification (HP)
|
100% |
16144
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22314
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20202
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25602
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10646
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160191
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297681
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
17596
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25092
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4687
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
41033
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
58114
690.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106206
818.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168021
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25152
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259819
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350184
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5658
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56372
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86121
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6611
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10985
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12299
212.5 IPS |
