MacPro7,1
Geekbench ML Score
7820
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 05 2025 01:25 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3600 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6192
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6063
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6050
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
628
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
620
10.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
626
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
75828
91.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
71655
86.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
71560
86.7 IPS |
|
|
Object Detection (F32)
|
100% |
4341
324.1 IPS |
|
|
Object Detection (F16)
|
100% |
4354
325.1 IPS |
|
|
Object Detection (I8)
|
97% |
4345
324.3 IPS |
|
|
Face Detection (F32)
|
100% |
19191
228.2 IPS |
|
|
Face Detection (F16)
|
98% |
18166
216.0 IPS |
|
|
Face Detection (I8)
|
97% |
18132
215.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
31100
241.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
29517
228.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
28213
218.8 IPS |
|
|
Style Transfer (F32)
|
100% |
122665
161.4 IPS |
|
|
Style Transfer (F16)
|
100% |
119136
156.7 IPS |
|
|
Style Transfer (I8)
|
100% |
119444
157.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12077
431.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18101
646.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16871
602.5 IPS |
|
|
Text Classification (F32)
|
100% |
628
901.9 IPS |
|
|
Text Classification (F16)
|
100% |
613
881.0 IPS |
|
|
Text Classification (I8)
|
96% |
514
738.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1194
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1214
22.3 IPS |
