MacPro7,1
Geekbench AI Score
508
Single Precision Score
87
Half Precision Score
50
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | rusavv |
| Upload Date | December 30 2024 08:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (Q)
|
96% |
32
6.06 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
34
0.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1684
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
783
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
448
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.06 IPS |
|
|
Object Detection (Q)
|
92% |
40
3.21 IPS |
|
|
Face Detection (SP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (Q)
|
100% |
53
0.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
729
5.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
195
1.50 IPS |
|
|
Depth Estimation (Q)
|
86% |
118
0.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1944
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
96% |
538
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.40 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
96
3.54 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.2 IPS |
|
|
Text Classification (HP)
|
36% |
16
135.9 IPS |
|
|
Text Classification (Q)
|
36% |
16
135.8 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.93 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.61 IPS |
