Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
2439
Single Precision Score
2534
Half Precision Score
1724
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | woda |
| Upload Date | February 04 2025 11:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | TUXEDO OS |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P WIFI DDR4 (MS-7D98) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
99% |
1150
214.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
4051
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (HP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (Q)
|
85% |
1203
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
97% |
2449
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2372
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2417
18.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1938
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2634
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2723
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
7815
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
576
773.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
58% |
731
17.2 IPS |
