System manufacturer System Product Name
Geekbench AI Score
2323
Single Precision Score
1059
Half Precision Score
3089
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DDD_Xleb |
| Upload Date | February 27 2025 09:56 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B360-I GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
96% |
2919
545.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1847
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
7042
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
58% |
1900
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
4812
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4996
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6351
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9692
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7773
9.99 IPS |
|
|
Style Transfer (Q)
|
87% |
9812
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
672
896.8 IPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1545
29.9 IPS |
