MacPro7,1
Geekbench AI Score
1628
Single Precision Score
1277
Half Precision Score
1000
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | demonknight9 |
| Upload Date | August 16 2024 09:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Gigabyte Technology Co., Ltd. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
99% |
624
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (Q)
|
100% |
551
8.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
2735
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (Q)
|
92% |
364
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
100% |
555
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
2247
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1485
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7254
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
8399
10.8 IPS |
|
|
Style Transfer (Q)
|
100% |
8323
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2365
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
604
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.1 IPS |
|
|
Text Classification (HP)
|
100% |
645
860.6 IPS |
|
|
Text Classification (Q)
|
93% |
659
884.4 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
