iPhone 15 Pro
Geekbench AI Score
3643
Single Precision Score
24324
Half Precision Score
34697
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 12:01 AM |
| Views | 2 |
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 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
9893
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
13962
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16440
266.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21338
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6970
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
99923
116.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
190948
223.8 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
11499
912.1 IPS |
|
|
Object Detection (Q)
|
91% |
16684
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
35267
419.1 IPS |
|
|
Face Detection (Q)
|
100% |
51358
610.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6496
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69432
534.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107953
844.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19331
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
193800
249.1 IPS |
|
|
Style Transfer (Q)
|
96% |
235681
304.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26629
983.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
51177
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7079
122.3 IPS |
