Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
18577
Single Precision Score
29400
Half Precision Score
11947
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:05 PM |
| Views | 13 |
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-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7731
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
10721
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5277
984.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
13212
214.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18368
297.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9992
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
100760
117.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
303399
354.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
80855
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
9726
771.4 IPS |
|
|
Object Detection (HP)
|
100% |
14063
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
6835
550.3 IPS |
|
|
Face Detection (SP)
|
100% |
24360
289.4 IPS |
|
|
Face Detection (HP)
|
100% |
36296
431.3 IPS |
|
|
Face Detection (Q)
|
97% |
17523
209.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47581
366.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78056
601.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30497
244.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192386
247.3 IPS |
|
|
Style Transfer (HP)
|
100% |
431344
554.5 IPS |
|
|
Style Transfer (Q)
|
98% |
145104
187.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30006
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41529
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16785
621.5 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1443
27.1 IPS |
