Acidanthera MacPro6,1
Geekbench AI Score
923
Single Precision Score
533
Half Precision Score
741
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 16 2024 01:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acidanthera MacPro6,1 |
| Motherboard | Acidanthera Mac-F60DEB81FF30ACF6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (Q)
|
96% |
580
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
538
8.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1444
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
87% |
1334
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
90% |
494
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (Q)
|
96% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
1072
8.56 IPS |
|
|
Style Transfer (SP)
|
100% |
3454
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2802
3.60 IPS |
|
|
Style Transfer (Q)
|
87% |
2949
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.4 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.6 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.8 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (Q)
|
60% |
405
9.03 IPS |
