MacPro5,1
Geekbench AI Score
354
Single Precision Score
70
Half Precision Score
44
Quantized Score
Geekbench AI 1.4.0 for macOS x86 (64-bit)
Result Information
| User | THADRUMMALD |
| Upload Date | September 06 2025 05:39 AM |
| Views | 7 |
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
37.9 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% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.32 IPS |
|
|
Object Detection (Q)
|
92% |
36
2.84 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (HP)
|
100% |
98
1.17 IPS |
|
|
Face Detection (Q)
|
100% |
47
0.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
162
1.25 IPS |
|
|
Depth Estimation (Q)
|
86% |
106
0.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1807
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
751
0.96 IPS |
|
|
Style Transfer (Q)
|
96% |
510
0.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.96 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
84
3.11 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.4 IPS |
|
|
Text Classification (HP)
|
36% |
15
124.3 IPS |
|
|
Text Classification (Q)
|
36% |
14
122.9 IPS |
|
|
Machine Translation (SP)
|
100% |
119
2.06 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.41 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.16 IPS |
