JYI Desktop System manufacturer System Product Name
Geekbench AI Score
11570
Single Precision Score
16993
Half Precision Score
8459
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 22 2025 08:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H310M-A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4938
918.4 IPS |
|
|
Image Classification (HP)
|
100% |
5957
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
3724
694.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5962
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7104
115.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5143
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
72686
84.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
184701
215.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
60655
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
5559
440.9 IPS |
|
|
Object Detection (HP)
|
100% |
7653
607.0 IPS |
|
|
Object Detection (Q)
|
84% |
4545
366.6 IPS |
|
|
Face Detection (SP)
|
100% |
12728
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
17023
202.3 IPS |
|
|
Face Detection (Q)
|
97% |
10698
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33970
261.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55425
427.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
23580
188.9 IPS |
|
|
Style Transfer (SP)
|
100% |
127799
164.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257727
331.3 IPS |
|
|
Style Transfer (Q)
|
98% |
102743
132.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20618
761.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29406
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13109
485.4 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2599
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1048
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
70% |
998
18.7 IPS |
