Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
36066
Single Precision Score
49405
Half Precision Score
26721
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | achakbrooks |
| Upload Date | October 24 2024 12:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI DDR4 (MS-7D31) |
| Power Plan | Bitsum Highest Performance |
| 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% |
13638
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18431
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11386
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20022
324.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24050
389.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18089
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
304716
355.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
517712
604.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
265780
311.2 IPS |
|
|
Object Detection (SP)
|
100% |
18318
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23623
1.87 KIPS |
|
|
Object Detection (Q)
|
89% |
14496
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
45087
535.7 IPS |
|
|
Face Detection (HP)
|
100% |
55036
653.9 IPS |
|
|
Face Detection (Q)
|
97% |
37885
451.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88116
678.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
151352
1.17 KIPS |
|
|
Depth Estimation (Q)
|
76% |
63827
513.4 IPS |
|
|
Style Transfer (SP)
|
100% |
550039
707.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1069821
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
471454
607.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60977
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81000
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44412
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2047
45.7 IPS |
