iPhone 15 Pro Max
Geekbench AI Score
2985
Single Precision Score
25519
Half Precision Score
34945
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
11776
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
17095
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15298
248.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20012
324.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
91563
106.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
168461
197.4 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
13547
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18077
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
34276
407.3 IPS |
|
|
Face Detection (Q)
|
100% |
51709
614.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5622
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70404
542.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108472
848.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15648
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168657
216.8 IPS |
|
|
Style Transfer (Q)
|
96% |
202303
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36478
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56564
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
