Mac Pro (Late 2019)
Geekbench AI Score
4250
Single Precision Score
4853
Half Precision Score
983
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 06 2025 08:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3724
692.5 IPS |
|
|
Image Classification (HP)
|
100% |
3806
707.8 IPS |
|
|
Image Classification (Q)
|
96% |
88
16.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
210
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
48435
56.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
44780
52.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2620
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
3854
305.7 IPS |
|
|
Object Detection (HP)
|
100% |
3939
312.4 IPS |
|
|
Object Detection (Q)
|
92% |
62
4.92 IPS |
|
|
Face Detection (SP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
11489
136.5 IPS |
|
|
Face Detection (Q)
|
100% |
145
1.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
15385
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18757
144.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18192
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88591
113.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94209
121.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114838
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9346
345.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8194
302.6 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
249
333.0 IPS |
|
|
Text Classification (Q)
|
93% |
218
292.0 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
98% |
521
9.00 IPS |
