Mac Pro (Late 2019)
Geekbench AI Score
5420
Single Precision Score
5717
Half Precision Score
461
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 02 2025 03:04 AM |
| Views | 5 |
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% |
3485
648.1 IPS |
|
|
Image Classification (HP)
|
100% |
3487
648.4 IPS |
|
|
Image Classification (Q)
|
96% |
91
17.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
217
3.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
48412
56.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
44158
51.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2896
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
3759
298.2 IPS |
|
|
Object Detection (HP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (Q)
|
92% |
79
6.31 IPS |
|
|
Face Detection (SP)
|
100% |
14774
175.5 IPS |
|
|
Face Detection (HP)
|
100% |
16629
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
19458
149.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20562
158.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93112
119.7 IPS |
|
|
Style Transfer (HP)
|
100% |
97932
125.9 IPS |
|
|
Style Transfer (Q)
|
96% |
122745
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6599
243.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10894
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10592
391.1 IPS |
|
|
Text Classification (SP)
|
100% |
413
550.8 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.7 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
