Mac Pro (Late 2019)
Geekbench AI Score
916
Single Precision Score
688
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | January 07 2025 08:16 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
144
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
245
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1204
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
92% |
180
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.32 IPS |
|
|
Face Detection (Q)
|
100% |
291
3.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1424
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
697
5.45 IPS |
|
|
Style Transfer (SP)
|
100% |
5564
7.15 IPS |
|
|
Style Transfer (HP)
|
100% |
5394
6.93 IPS |
|
|
Style Transfer (Q)
|
96% |
3292
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
911
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
385
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.3 IPS |
|
|
Text Classification (HP)
|
100% |
325
433.1 IPS |
|
|
Text Classification (Q)
|
93% |
327
438.9 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
98% |
426
7.37 IPS |
