Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
17717
Single Precision Score
27590
Half Precision Score
11420
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | flim |
| Upload Date | January 17 2025 12:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7699
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
10903
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5186
967.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11169
181.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14715
238.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8591
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
97469
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
284158
331.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
77697
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
9180
728.1 IPS |
|
|
Object Detection (HP)
|
100% |
12945
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
6608
532.0 IPS |
|
|
Face Detection (SP)
|
100% |
21534
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
31909
379.2 IPS |
|
|
Face Detection (Q)
|
97% |
15867
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46742
360.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74731
575.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29201
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
191919
246.7 IPS |
|
|
Style Transfer (HP)
|
100% |
409102
525.9 IPS |
|
|
Style Transfer (Q)
|
98% |
141430
182.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29448
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38661
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16487
610.5 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1310
24.6 IPS |
