Mac Pro (Late 2019)
Geekbench AI Score
6888
Single Precision Score
7267
Half Precision Score
1467
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | edwardhchan |
| Upload Date | July 05 2025 03:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3245 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4740
881.4 IPS |
|
|
Image Classification (HP)
|
100% |
4683
870.9 IPS |
|
|
Image Classification (Q)
|
96% |
111
20.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
230
3.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
68636
80.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59115
69.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2958
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
5738
455.2 IPS |
|
|
Object Detection (HP)
|
100% |
5638
447.2 IPS |
|
|
Object Detection (Q)
|
92% |
94
7.51 IPS |
|
|
Face Detection (SP)
|
100% |
14596
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
17903
212.7 IPS |
|
|
Face Detection (Q)
|
100% |
240
2.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
27452
211.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27711
213.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
26442
206.6 IPS |
|
|
Style Transfer (SP)
|
100% |
111608
143.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106028
136.3 IPS |
|
|
Style Transfer (Q)
|
96% |
126111
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8505
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15591
575.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14995
553.7 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.3 IPS |
|
|
Text Classification (HP)
|
100% |
480
641.0 IPS |
|
|
Text Classification (Q)
|
93% |
433
581.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
