BIOSTAR Group TZ77A
Geekbench AI Score
10373
Single Precision Score
9604
Half Precision Score
7376
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 09 2025 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | BIOSTAR Group TZ77A |
| Motherboard | BIOSTAR Group TZ77A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3199
594.8 IPS |
|
|
Image Classification (HP)
|
100% |
3911
727.2 IPS |
|
|
Image Classification (Q)
|
100% |
2698
501.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6226
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5995
97.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4962
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
87014
101.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50025
58.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
65386
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
4007
317.8 IPS |
|
|
Object Detection (HP)
|
100% |
5221
414.1 IPS |
|
|
Object Detection (Q)
|
84% |
3195
257.7 IPS |
|
|
Face Detection (SP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
10519
125.0 IPS |
|
|
Face Detection (Q)
|
97% |
6029
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25592
197.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21742
168.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
18503
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
143654
184.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74451
95.7 IPS |
|
|
Style Transfer (Q)
|
98% |
101208
130.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20694
764.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15705
579.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12629
467.6 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
97% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2217
38.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1237
23.2 IPS |
