System manufacturer System Product Name
Geekbench AI Score
13655
Single Precision Score
20423
Half Precision Score
11334
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Petrat |
| Upload Date | June 29 2025 07:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100F |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (HP)
|
99% |
8129
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
4742
884.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7064
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8411
136.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6716
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
84438
98.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
205623
239.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74081
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
6436
510.5 IPS |
|
|
Object Detection (HP)
|
100% |
8947
709.7 IPS |
|
|
Object Detection (Q)
|
84% |
5889
475.0 IPS |
|
|
Face Detection (SP)
|
100% |
14551
172.9 IPS |
|
|
Face Detection (HP)
|
100% |
19373
230.2 IPS |
|
|
Face Detection (Q)
|
97% |
13462
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
39072
301.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
66852
515.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32449
259.6 IPS |
|
|
Style Transfer (SP)
|
100% |
132163
169.9 IPS |
|
|
Style Transfer (HP)
|
100% |
297755
382.8 IPS |
|
|
Style Transfer (Q)
|
98% |
119177
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24890
919.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36148
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19826
734.1 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
3352
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1895
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1288
24.2 IPS |
