Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
34875
Single Precision Score
51662
Half Precision Score
26920
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13049
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
18503
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11338
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24025
389.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31812
515.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21887
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
255370
298.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
516501
602.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
226742
265.7 IPS |
|
|
Object Detection (SP)
|
100% |
16643
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23810
1.89 KIPS |
|
|
Object Detection (Q)
|
85% |
14308
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
48955
581.7 IPS |
|
|
Face Detection (HP)
|
100% |
65074
773.2 IPS |
|
|
Face Detection (Q)
|
97% |
42138
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
82720
637.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
153779
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63446
506.7 IPS |
|
|
Style Transfer (SP)
|
100% |
393514
505.9 IPS |
|
|
Style Transfer (HP)
|
100% |
894795
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
344511
444.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55519
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75899
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42466
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4620
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2295
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2766
51.9 IPS |
