System manufacturer System Product Name
Geekbench AI Score
2972
Single Precision Score
1042
Half Precision Score
3362
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Hampi |
| Upload Date | October 10 2024 08:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10920X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
99% |
2733
509.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1881
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5992
6.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
33625
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
88% |
1468
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
3771
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7149
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6875
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17785
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12140
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23176
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2538
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2453
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (Q)
|
97% |
337
451.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1466
32.7 IPS |
