Mac Pro (Late 2019)
Geekbench AI Score
4750
Single Precision Score
5225
Half Precision Score
416
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 22 2025 05:18 AM |
| Views | 12 |
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% |
2917
542.4 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.2 IPS |
|
|
Image Classification (Q)
|
96% |
72
13.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
47705
55.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
44025
51.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2665
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
3635
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (Q)
|
92% |
76
6.11 IPS |
|
|
Face Detection (SP)
|
100% |
12813
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
14348
170.5 IPS |
|
|
Face Detection (Q)
|
100% |
212
2.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
17728
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20027
154.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
143.1 IPS |
|
|
Style Transfer (SP)
|
100% |
90992
117.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96218
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120246
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10636
392.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9696
358.0 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.6 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.1 IPS |
|
|
Text Classification (Q)
|
93% |
283
380.5 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
790
13.6 IPS |
