Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
33306
Single Precision Score
48375
Half Precision Score
24584
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| 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% |
12679
2.36 KIPS |
|
|
Image Classification (HP)
|
99% |
17597
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
11076
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21408
347.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27357
443.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11840
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
258242
301.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
481932
562.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
226728
265.6 IPS |
|
|
Object Detection (SP)
|
100% |
16717
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23518
1.87 KIPS |
|
|
Object Detection (Q)
|
85% |
14441
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47158
560.3 IPS |
|
|
Face Detection (HP)
|
100% |
61586
731.8 IPS |
|
|
Face Detection (Q)
|
97% |
40249
479.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78083
601.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
148383
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60567
483.7 IPS |
|
|
Style Transfer (SP)
|
100% |
390988
502.6 IPS |
|
|
Style Transfer (HP)
|
100% |
891585
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
342538
441.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52624
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70253
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39862
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5385
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2625
49.2 IPS |
