iMacPro1,1
Geekbench ML Score
9231
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | March 07 2025 10:36 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.7.4 (Build 22H420) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6122
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6035
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6048
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
87331
105.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
78775
95.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
76365
92.5 IPS |
|
|
Object Detection (F32)
|
100% |
4674
348.9 IPS |
|
|
Object Detection (F16)
|
100% |
4932
368.2 IPS |
|
|
Object Detection (I8)
|
97% |
4827
360.4 IPS |
|
|
Face Detection (F32)
|
100% |
22603
268.7 IPS |
|
|
Face Detection (F16)
|
97% |
22672
269.6 IPS |
|
|
Face Detection (I8)
|
96% |
23012
273.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
34096
264.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
33967
263.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
33436
259.3 IPS |
|
|
Style Transfer (F32)
|
100% |
143547
188.8 IPS |
|
|
Style Transfer (F16)
|
100% |
124793
164.2 IPS |
|
|
Style Transfer (I8)
|
100% |
130760
172.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14277
509.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19598
699.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19557
698.5 IPS |
|
|
Text Classification (F32)
|
100% |
918
1.32 KIPS |
|
|
Text Classification (F16)
|
36% |
927
1.33 KIPS |
|
|
Text Classification (I8)
|
36% |
921
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (F16)
|
0% |
1030
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1756
32.3 IPS |
