MC-80 Liberty 23H2 RTX 5070 Riser Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
29406
Single Precision Score
51538
Half Precision Score
22711
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chemeya |
| Upload Date | November 06 2025 05:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11658
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
19872
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
10621
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21303
345.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31375
508.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19316
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
169569
197.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
490825
572.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
145446
170.4 IPS |
|
|
Object Detection (SP)
|
100% |
15150
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24834
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
12708
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
39196
465.7 IPS |
|
|
Face Detection (HP)
|
100% |
57276
680.6 IPS |
|
|
Face Detection (Q)
|
97% |
33452
398.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
70788
545.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
138612
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55123
440.0 IPS |
|
|
Style Transfer (SP)
|
100% |
236344
303.8 IPS |
|
|
Style Transfer (HP)
|
100% |
808534
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
203483
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43805
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80856
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34099
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5384
7.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2566
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6168
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6226
107.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2933
55.0 IPS |
