MacPro5,1
Geekbench AI Score
354
Single Precision Score
70
Half Precision Score
45
Quantized Score
Geekbench AI 1.4.0 for macOS x86 (64-bit)
Result Information
| User | THADRUMMALD |
| Upload Date | September 06 2025 03:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon X5690 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.8 (Build 23H730) |
| Model | MacPro5,1 |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro5,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5690 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (Q)
|
96% |
29
5.35 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
47
0.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
31
0.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1132
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
344
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.42 IPS |
|
|
Object Detection (Q)
|
92% |
36
2.86 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
96
1.14 IPS |
|
|
Face Detection (Q)
|
100% |
46
0.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
160
1.23 IPS |
|
|
Depth Estimation (Q)
|
86% |
107
0.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
758
0.98 IPS |
|
|
Style Transfer (Q)
|
96% |
519
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
86
3.17 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.5 IPS |
|
|
Text Classification (HP)
|
36% |
15
125.2 IPS |
|
|
Text Classification (Q)
|
36% |
15
125.0 IPS |
|
|
Machine Translation (SP)
|
100% |
118
2.04 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.41 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.15 IPS |
