Mac Pro (Late 2019)
Geekbench AI Score
5223
Single Precision Score
5630
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 22 2025 08:59 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
3371
626.9 IPS |
|
|
Image Classification (HP)
|
100% |
3454
642.3 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
200
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
48099
56.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
44307
51.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2821
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
3770
299.0 IPS |
|
|
Object Detection (HP)
|
100% |
3763
298.5 IPS |
|
|
Object Detection (Q)
|
92% |
75
5.99 IPS |
|
|
Face Detection (SP)
|
100% |
12583
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
15771
187.4 IPS |
|
|
Face Detection (Q)
|
100% |
208
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
19189
147.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20585
158.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92693
119.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97799
125.7 IPS |
|
|
Style Transfer (Q)
|
96% |
123880
159.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6314
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10935
403.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10483
387.1 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (HP)
|
100% |
394
526.1 IPS |
|
|
Text Classification (Q)
|
93% |
346
464.8 IPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
