JYI Desktop System manufacturer System Product Name
Geekbench AI Score
2987
Single Precision Score
3077
Half Precision Score
5402
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 22 2025 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| 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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
100% |
3843
714.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3593
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
9985
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
87% |
3992
320.2 IPS |
|
|
Face Detection (SP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
9865
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5205
40.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
10579
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12944
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13552
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30254
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6339
234.8 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (Q)
|
91% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2313
39.8 IPS |
