Mac Pro (Late 2013)
Geekbench AI Score
1657
Single Precision Score
1660
Half Precision Score
566
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 10:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD - FirePro D700 |
| 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 E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
99% |
1375
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (Q)
|
100% |
245
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
9136
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
669
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (Q)
|
92% |
35
2.82 IPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
58
0.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5955
45.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
5930
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12987
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13296
17.1 IPS |
|
|
Style Transfer (Q)
|
100% |
13720
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1748
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.7 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.3 IPS |
|
|
Text Classification (Q)
|
93% |
246
329.6 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
98% |
214
3.70 IPS |
