Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
26015
Single Precision Score
44037
Half Precision Score
20333
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:52 AM |
| Views | 4 |
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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10904
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
18572
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
9825
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15922
258.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21340
345.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14670
238.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
157638
183.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
427902
499.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
137027
160.5 IPS |
|
|
Object Detection (SP)
|
100% |
13679
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
22141
1.76 KIPS |
|
|
Object Detection (Q)
|
83% |
11438
924.1 IPS |
|
|
Face Detection (SP)
|
100% |
33460
397.6 IPS |
|
|
Face Detection (HP)
|
100% |
46095
547.7 IPS |
|
|
Face Detection (Q)
|
97% |
29090
346.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65469
504.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
123253
949.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
51218
408.8 IPS |
|
|
Style Transfer (SP)
|
100% |
223593
287.4 IPS |
|
|
Style Transfer (HP)
|
100% |
743121
955.3 IPS |
|
|
Style Transfer (Q)
|
98% |
193515
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40807
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75176
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31621
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4906
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2458
46.1 IPS |
