MacPro7,1
Geekbench AI Score
842
Single Precision Score
705
Half Precision Score
563
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 02:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
100% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2654
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1564
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1371
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.71 IPS |
|
|
Depth Estimation (Q)
|
97% |
1074
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
3394
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3380
4.35 IPS |
|
|
Style Transfer (Q)
|
100% |
3382
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.4 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.0 IPS |
|
|
Text Classification (Q)
|
93% |
453
607.6 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
98% |
549
9.49 IPS |
