NVIDIA GeForce RTX 2080 Ti Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4
Geekbench AI Score
17441
Single Precision Score
27673
Half Precision Score
11253
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | February 01 2026 01:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7251
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
10287
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
5115
954.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
12744
206.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17366
281.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9333
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
97445
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
295764
345.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75827
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
8883
704.6 IPS |
|
|
Object Detection (HP)
|
100% |
12813
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
6519
524.8 IPS |
|
|
Face Detection (SP)
|
100% |
22457
266.8 IPS |
|
|
Face Detection (HP)
|
100% |
34093
405.1 IPS |
|
|
Face Detection (Q)
|
97% |
16197
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45035
347.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72524
558.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
28319
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185675
238.7 IPS |
|
|
Style Transfer (HP)
|
100% |
410098
527.2 IPS |
|
|
Style Transfer (Q)
|
98% |
135479
174.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28241
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38143
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15762
583.7 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1407
26.4 IPS |
