Gigabyte Technology Co., Ltd. Z370M D3H
Geekbench AI Score
17238
Single Precision Score
31370
Half Precision Score
31196
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 11:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370M D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z370M D3H-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8670
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
15560
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
14135
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13620
220.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19382
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19988
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
79221
92.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
316164
368.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
551283
645.4 IPS |
|
|
Object Detection (SP)
|
100% |
7349
583.0 IPS |
|
|
Object Detection (HP)
|
100% |
16599
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
15169
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
18907
224.7 IPS |
|
|
Face Detection (HP)
|
100% |
39076
464.3 IPS |
|
|
Face Detection (Q)
|
100% |
42826
508.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57138
440.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
107040
824.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
98733
767.8 IPS |
|
|
Style Transfer (SP)
|
100% |
164638
211.6 IPS |
|
|
Style Transfer (HP)
|
100% |
496160
637.8 IPS |
|
|
Style Transfer (Q)
|
98% |
550828
710.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30517
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42523
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36291
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2883
49.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2888
49.7 IPS |
