MacPro7,1
Geekbench AI Score
2069
Single Precision Score
210
Half Precision Score
156
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | August 23 2025 08:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Gigabyte Technology Co., Ltd. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 8 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
6944
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2749
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2297
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
1763
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
628
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
3433
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2854
22.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1514
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9353
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9232
11.9 IPS |
|
|
Style Transfer (Q)
|
96% |
5876
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
803
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.8 IPS |
|
|
Text Classification (HP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (Q)
|
93% |
674
904.1 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1240
21.4 IPS |
