Mac Pro (Late 2019)
Geekbench AI Score
5675
Single Precision Score
5318
Half Precision Score
458
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | davidamcclain |
| Upload Date | December 14 2025 05:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro W5700X |
| System Information | |
|---|---|
| Operating System | macOS 14.8.3 (Build 23J220) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3235 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4258
791.8 IPS |
|
|
Image Classification (HP)
|
100% |
4353
809.5 IPS |
|
|
Image Classification (Q)
|
96% |
111
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
229
3.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
40000
46.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
40704
47.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3181
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
4490
356.1 IPS |
|
|
Object Detection (HP)
|
100% |
4476
355.0 IPS |
|
|
Object Detection (Q)
|
92% |
87
6.96 IPS |
|
|
Face Detection (SP)
|
100% |
12900
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
12877
153.0 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
20286
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21587
166.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
145.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80537
103.5 IPS |
|
|
Style Transfer (HP)
|
100% |
82048
105.5 IPS |
|
|
Style Transfer (Q)
|
96% |
104356
134.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7580
279.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12903
476.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11747
433.8 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.3 IPS |
|
|
Text Classification (Q)
|
93% |
249
334.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
