Mac Pro (Late 2019)
Geekbench AI Score
5215
Single Precision Score
5527
Half Precision Score
1174
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | September 23 2025 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3265M |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (HP)
|
100% |
3562
662.4 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
210
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
46760
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
43758
51.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2708
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
3757
298.0 IPS |
|
|
Object Detection (HP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (Q)
|
92% |
73
5.85 IPS |
|
|
Face Detection (SP)
|
100% |
12367
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
13663
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
212
2.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
17952
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18681
143.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17004
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
86460
111.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88470
113.7 IPS |
|
|
Style Transfer (Q)
|
96% |
107562
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6934
256.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10754
397.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9529
351.8 IPS |
|
|
Text Classification (SP)
|
100% |
429
573.3 IPS |
|
|
Text Classification (HP)
|
100% |
418
558.2 IPS |
|
|
Text Classification (Q)
|
93% |
394
529.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
