Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
28302
Single Precision Score
49294
Half Precision Score
21836
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10980
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
18937
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
9816
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20499
332.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30017
486.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18619
302.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
166959
194.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
462330
539.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
140464
164.5 IPS |
|
|
Object Detection (SP)
|
100% |
14545
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23958
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
12337
996.7 IPS |
|
|
Face Detection (SP)
|
100% |
38460
457.0 IPS |
|
|
Face Detection (HP)
|
100% |
55554
660.1 IPS |
|
|
Face Detection (Q)
|
97% |
32952
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
69171
532.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
130926
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53736
428.9 IPS |
|
|
Style Transfer (SP)
|
100% |
226985
291.8 IPS |
|
|
Style Transfer (HP)
|
100% |
777603
999.6 IPS |
|
|
Style Transfer (Q)
|
98% |
193863
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41970
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79173
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32772
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2839
53.2 IPS |
