NVIDIA Tesla P100-PCIE-16GB MAXSUN MS-Terminator B650M
Geekbench AI Score
10259
Single Precision Score
8778
Half Precision Score
6793
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | November 22 2025 08:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P100-PCIE-16GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MAXSUN MS-Terminator B650M |
| Motherboard | MAXSUN MS-Terminator B650M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3130
582.0 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.1 IPS |
|
|
Image Classification (Q)
|
99% |
2507
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7888
127.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6485
105.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5565
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
72279
84.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35528
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
54455
63.8 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
4605
365.2 IPS |
|
|
Object Detection (Q)
|
84% |
3061
246.9 IPS |
|
|
Face Detection (SP)
|
100% |
8353
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
6445
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22629
174.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17904
137.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15526
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
118825
152.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56435
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86423
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20904
771.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13283
490.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11289
418.0 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
97% |
835
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2974
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1104
20.7 IPS |
