Mac Pro (Late 2019)
Geekbench AI Score
5479
Single Precision Score
5684
Half Precision Score
448
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | rhall |
| Upload Date | September 10 2024 04:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3797
706.1 IPS |
|
|
Image Classification (HP)
|
100% |
3805
707.6 IPS |
|
|
Image Classification (Q)
|
96% |
90
16.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
44137
51.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
44241
51.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2459
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (HP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (Q)
|
92% |
77
6.12 IPS |
|
|
Face Detection (SP)
|
100% |
11727
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
13403
159.3 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
18427
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18834
145.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
127.5 IPS |
|
|
Style Transfer (SP)
|
100% |
86114
110.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88441
113.7 IPS |
|
|
Style Transfer (Q)
|
96% |
105620
136.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7983
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11221
414.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10641
392.9 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.3 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.8 IPS |
|
|
Text Classification (Q)
|
93% |
377
505.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
