iMacPro1,1
Geekbench AI Score
3985
Single Precision Score
5028
Half Precision Score
516
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | November 20 2024 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon VII |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 32 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 6000 MT/s |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1889
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
4077
758.2 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
244
3.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
46406
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31357
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2438
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (Q)
|
92% |
190
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
14580
173.2 IPS |
|
|
Face Detection (HP)
|
100% |
5068
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
9022
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17101
131.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
90497
116.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63167
81.2 IPS |
|
|
Style Transfer (Q)
|
96% |
51660
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10211
377.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5615
207.3 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
714
953.6 IPS |
|
|
Text Classification (Q)
|
93% |
623
836.3 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1367
23.6 IPS |
