System manufacturer System Product Name
Geekbench AI Score
23963
Single Precision Score
33964
Half Precision Score
14477
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| User | vhco |
| Upload Date | January 22 2026 12:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG RAMPAGE VI EXTREME |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9292
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
10944
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
6246
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14376
233.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19148
310.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10784
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
190037
221.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
342304
399.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
135964
159.3 IPS |
|
|
Object Detection (SP)
|
100% |
10970
870.1 IPS |
|
|
Object Detection (HP)
|
100% |
16408
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
7397
595.0 IPS |
|
|
Face Detection (SP)
|
100% |
29975
356.2 IPS |
|
|
Face Detection (HP)
|
100% |
38632
459.0 IPS |
|
|
Face Detection (Q)
|
97% |
20617
245.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
64354
495.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107489
828.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36966
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
277005
356.1 IPS |
|
|
Style Transfer (HP)
|
100% |
586748
754.3 IPS |
|
|
Style Transfer (Q)
|
98% |
197255
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38825
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55252
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22237
823.4 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1247
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1432
26.9 IPS |
