Mac Pro (Late 2019)
Geekbench AI Score
4628
Single Precision Score
5060
Half Precision Score
387
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 22 2025 04:57 AM |
| Views | 2 |
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% |
2997
557.3 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.1 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
191
3.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
47014
54.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
44095
51.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2631
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
3383
268.4 IPS |
|
|
Object Detection (HP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (Q)
|
92% |
46
3.70 IPS |
|
|
Face Detection (SP)
|
100% |
11541
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
11948
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
180
2.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
18938
145.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19986
154.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
87409
112.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94412
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119437
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9991
368.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9611
354.9 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.0 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.4 IPS |
|
|
Text Classification (Q)
|
93% |
275
368.4 IPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
719
12.4 IPS |
