Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
39904
Single Precision Score
53898
Half Precision Score
29832
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 04 2025 12:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14333
2.67 KIPS |
|
|
Image Classification (HP)
|
99% |
18434
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
12133
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25889
419.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
32597
528.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23474
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
336682
392.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
565033
659.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
287876
337.3 IPS |
|
|
Object Detection (SP)
|
100% |
19198
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
24194
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
16125
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
55165
655.5 IPS |
|
|
Face Detection (HP)
|
100% |
68969
819.5 IPS |
|
|
Face Detection (Q)
|
97% |
44745
533.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
99384
765.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
162449
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71409
571.1 IPS |
|
|
Style Transfer (SP)
|
100% |
580374
746.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1082038
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
483176
623.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62262
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81625
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46044
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4455
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5869
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2704
50.7 IPS |
