Mac Pro (Late 2013)
Geekbench AI Score
1340
Single Precision Score
1337
Half Precision Score
492
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | Zztony |
| Upload Date | August 26 2024 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD - FirePro D500 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
99% |
1035
193.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
100% |
276
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
6461
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6672
7.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
653
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.7 IPS |
|
|
Object Detection (HP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (Q)
|
92% |
38
3.01 IPS |
|
|
Face Detection (SP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
54
0.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4248
32.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
4230
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9219
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9523
12.2 IPS |
|
|
Style Transfer (Q)
|
100% |
9233
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1429
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.4 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.0 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.1 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
98% |
197
3.41 IPS |
