System manufacturer System Product Name
Geekbench AI Score
2845
Single Precision Score
1008
Half Precision Score
3176
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | crosstalk |
| Upload Date | February 14 2025 04:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (Q)
|
96% |
3271
610.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1775
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9367
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5044
5.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
11193
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
58% |
2353
257.1 IPS |
|
|
Face Detection (SP)
|
100% |
4937
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
6511
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7946
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8891
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17453
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11479
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
18638
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1377
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
686
915.7 IPS |
|
|
Text Classification (HP)
|
100% |
337
450.0 IPS |
|
|
Text Classification (Q)
|
97% |
337
450.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1365
26.4 IPS |
