System manufacturer System Product Name
Geekbench AI Score
864
Single Precision Score
467
Half Precision Score
1059
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | magnusanton |
| Upload Date | November 09 2024 07:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-P |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1323
1.54 IPS |
|
|
Pose Estimation (Q)
|
87% |
3136
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
86% |
320
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
96% |
951
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1145
8.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
464
3.58 IPS |
|
|
Depth Estimation (Q)
|
77% |
1433
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2894
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2240
2.88 IPS |
|
|
Style Transfer (Q)
|
87% |
4521
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.4 IPS |
|
|
Text Classification (Q)
|
97% |
133
177.9 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1294
28.9 IPS |
