Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
29261
Single Precision Score
51455
Half Precision Score
22715
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11742
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
20646
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
10708
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19131
310.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27579
447.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18136
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
169980
198.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
482831
563.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
146315
171.4 IPS |
|
|
Object Detection (SP)
|
100% |
15900
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
27541
2.18 KIPS |
|
|
Object Detection (Q)
|
83% |
13320
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
41706
495.6 IPS |
|
|
Face Detection (HP)
|
100% |
61552
731.4 IPS |
|
|
Face Detection (Q)
|
97% |
34858
415.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71326
549.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
133856
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55403
442.2 IPS |
|
|
Style Transfer (SP)
|
100% |
237456
305.3 IPS |
|
|
Style Transfer (HP)
|
100% |
817275
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
203413
262.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44409
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83863
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34991
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4232
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2534
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5710
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5820
100.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.0 IPS |
