Mac Pro (Late 2019)
Geekbench AI Score
5505
Single Precision Score
5750
Half Precision Score
1211
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 15 2025 08:20 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 768.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3633
675.6 IPS |
|
|
Image Classification (HP)
|
100% |
3773
701.6 IPS |
|
|
Image Classification (Q)
|
96% |
78
14.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
206
3.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
48275
56.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44689
52.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2842
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
3917
310.7 IPS |
|
|
Object Detection (HP)
|
100% |
3944
312.8 IPS |
|
|
Object Detection (Q)
|
92% |
72
5.78 IPS |
|
|
Face Detection (SP)
|
100% |
11590
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
12664
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
19718
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20726
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19576
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
93367
120.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98885
127.1 IPS |
|
|
Style Transfer (Q)
|
96% |
124497
160.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7728
285.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11437
422.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10035
370.6 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.8 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.6 IPS |
|
|
Text Classification (Q)
|
93% |
415
557.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
964
16.7 IPS |
