Samsung SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
12626
Single Precision Score
21685
Half Precision Score
9646
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 26 2024 01:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XFH-XA3US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4270
794.2 IPS |
|
|
Image Classification (HP)
|
99% |
6476
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
4118
765.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8735
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11590
187.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8065
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
62704
73.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
185312
216.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
58572
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
5911
468.9 IPS |
|
|
Object Detection (HP)
|
100% |
10520
834.5 IPS |
|
|
Object Detection (Q)
|
88% |
5028
403.2 IPS |
|
|
Face Detection (SP)
|
100% |
15729
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
24732
293.9 IPS |
|
|
Face Detection (Q)
|
97% |
12822
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29749
229.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
63168
486.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
24279
195.1 IPS |
|
|
Style Transfer (SP)
|
100% |
102982
132.4 IPS |
|
|
Style Transfer (HP)
|
100% |
302470
388.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101250
130.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25039
924.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38285
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17595
651.5 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3250
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1308
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2673
46.2 IPS |
|
|
Machine Translation (Q)
|
60% |
983
21.9 IPS |
