JYI Desktop System manufacturer System Product Name
Geekbench AI Score
2217
Single Precision Score
1102
Half Precision Score
3115
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 22 2025 08:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| 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% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (Q)
|
96% |
3625
676.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
2993
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3519
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
7885
9.32 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (Q)
|
58% |
2032
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4612
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4889
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7082
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9783
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8603
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
7539
9.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3665
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
414
554.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1325
25.6 IPS |
