Micro-Star International Co., Ltd. MS-7C73
Geekbench AI Score
11363
Single Precision Score
10676
Half Precision Score
7970
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 04:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C73 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING CARBON WIFI (MS-7C73) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3649
678.7 IPS |
|
|
Image Classification (HP)
|
100% |
4629
860.9 IPS |
|
|
Image Classification (Q)
|
99% |
3073
573.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6326
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6195
100.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5022
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
94882
110.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54335
63.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
70607
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
4452
353.2 IPS |
|
|
Object Detection (HP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (Q)
|
84% |
3649
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
8182
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
11379
135.2 IPS |
|
|
Face Detection (Q)
|
97% |
6763
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27658
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23316
180.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
19616
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
157007
201.8 IPS |
|
|
Style Transfer (HP)
|
100% |
80858
103.9 IPS |
|
|
Style Transfer (Q)
|
98% |
110824
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24673
911.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17885
660.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13426
497.2 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1017
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2338
40.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1297
24.3 IPS |
