Mac Pro (Mid 2010)
Geekbench AI Score
2514
Single Precision Score
2266
Half Precision Score
692
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 11:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 580 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Pro (Mid 2010) |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro5,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.33 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
1543
286.9 IPS |
|
|
Image Classification (Q)
|
99% |
2081
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
100% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
17491
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17267
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
739
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.4 IPS |
|
|
Object Detection (HP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (Q)
|
92% |
35
2.83 IPS |
|
|
Face Detection (SP)
|
100% |
6920
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
6945
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
56
0.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
10096
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6831
52.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
6795
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23626
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25568
32.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24982
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3248
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
271
362.0 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.3 IPS |
|
|
Text Classification (Q)
|
93% |
244
327.7 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
98% |
265
4.59 IPS |
