Mac Pro (Late 2019)
Geekbench AI Score
5674
Single Precision Score
5934
Half Precision Score
1274
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 11 2025 03:45 PM |
| Views | 3 |
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% |
3773
701.7 IPS |
|
|
Image Classification (HP)
|
100% |
3879
721.4 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
48509
56.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
44446
51.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2830
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (Q)
|
92% |
86
6.90 IPS |
|
|
Face Detection (SP)
|
100% |
15067
179.0 IPS |
|
|
Face Detection (HP)
|
100% |
16680
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
222
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
19667
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20772
160.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19664
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
93870
120.7 IPS |
|
|
Style Transfer (HP)
|
100% |
98812
127.0 IPS |
|
|
Style Transfer (Q)
|
96% |
124510
160.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7699
284.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11407
421.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10094
372.7 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.7 IPS |
|
|
Text Classification (Q)
|
93% |
423
567.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
