Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
32960
Single Precision Score
47874
Half Precision Score
24962
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vonschroeder |
| Upload Date | August 16 2024 02:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12245
2.28 KIPS |
|
|
Image Classification (HP)
|
99% |
17003
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10473
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21649
350.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28095
455.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20261
329.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
256024
298.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
486156
567.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
227573
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
16538
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23238
1.84 KIPS |
|
|
Object Detection (Q)
|
89% |
14298
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
44258
525.9 IPS |
|
|
Face Detection (HP)
|
100% |
56418
670.4 IPS |
|
|
Face Detection (Q)
|
97% |
36212
431.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
76251
587.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
140901
1.09 KIPS |
|
|
Depth Estimation (Q)
|
70% |
55446
464.4 IPS |
|
|
Style Transfer (SP)
|
100% |
392882
505.1 IPS |
|
|
Style Transfer (HP)
|
100% |
885586
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
342681
441.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53433
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71891
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40470
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4357
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5363
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5315
91.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2216
49.4 IPS |
