Mac Pro (Late 2013)
Geekbench AI Score
1364
Single Precision Score
1351
Half Precision Score
303
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | Zztony |
| Upload Date | October 01 2024 08:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD - FirePro D500 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.2 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
96% |
32
5.97 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
58
0.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6674
7.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
719
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
39
3.08 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
55
0.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
4486
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4272
32.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
3662
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9187
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9615
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11108
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1384
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
236
315.6 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.3 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.4 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.56 IPS |
|
|
Machine Translation (Q)
|
98% |
206
3.56 IPS |
