Apple Inc. MacPro5,1
Geekbench AI Score
7553
Single Precision Score
7334
Half Precision Score
5865
Quantized Score
Geekbench AI 1.2.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | March 14 2025 10:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
3256
605.6 IPS |
|
|
Image Classification (Q)
|
100% |
2032
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3114
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
67910
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
38096
44.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
53092
62.2 IPS |
|
|
Object Detection (SP)
|
100% |
2808
222.8 IPS |
|
|
Object Detection (HP)
|
100% |
3889
308.5 IPS |
|
|
Object Detection (Q)
|
84% |
2454
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
5523
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
97% |
4855
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20331
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18238
140.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15379
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
106488
136.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61326
78.8 IPS |
|
|
Style Transfer (Q)
|
98% |
80828
104.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16989
627.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13653
504.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10835
401.2 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
979
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1319
22.8 IPS |
|
|
Machine Translation (Q)
|
70% |
914
17.1 IPS |
