Generic
Geekbench AI Score
2923
Single Precision Score
1218
Half Precision Score
3466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alf007 |
| Upload Date | March 20 2025 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z390 Pro4 |
| Power Plan | Balanced |
| 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% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
96% |
3957
738.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1947
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3858
4.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
10587
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
58% |
2233
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
5960
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1715
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8965
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13462
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9726
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12175
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2590
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (Q)
|
97% |
451
604.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
68% |
1812
35.0 IPS |
