Mac Pro (Late 2019)
Geekbench AI Score
5376
Single Precision Score
5722
Half Precision Score
485
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 02 2025 02:58 AM |
| Views | 7 |
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-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% |
3584
666.4 IPS |
|
|
Image Classification (HP)
|
100% |
3610
671.3 IPS |
|
|
Image Classification (Q)
|
96% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
48297
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44422
51.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2984
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
3816
302.7 IPS |
|
|
Object Detection (HP)
|
100% |
3894
308.9 IPS |
|
|
Object Detection (Q)
|
92% |
100
7.99 IPS |
|
|
Face Detection (SP)
|
100% |
16173
192.2 IPS |
|
|
Face Detection (HP)
|
100% |
18454
219.3 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
13957
107.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20143
155.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93516
120.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98409
126.5 IPS |
|
|
Style Transfer (Q)
|
96% |
125114
161.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11031
407.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10727
396.1 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.1 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (Q)
|
93% |
369
495.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
