Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
2892
Single Precision Score
2946
Half Precision Score
2051
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | woda |
| Upload Date | February 04 2025 11:52 AM |
| Views | 6 |
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% |
2625
488.1 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.5 IPS |
|
|
Image Classification (Q)
|
99% |
1663
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1591
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
5277
6.18 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
2779
220.4 IPS |
|
|
Object Detection (Q)
|
85% |
1524
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (Q)
|
97% |
3453
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3200
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3203
24.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2812
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3257
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3210
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7900
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
575
771.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
58% |
747
17.5 IPS |
