iPhone 15 Pro
Geekbench AI Score
3973
Single Precision Score
24956
Half Precision Score
34295
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
10755
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15047
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16844
273.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21670
351.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105327
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204065
239.2 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
13858
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18931
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34261
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
51600
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78491
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126575
989.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21475
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204089
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
248284
320.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34591
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56559
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6536
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7868
136.0 IPS |
