iMacPro1,1
Geekbench AI Score
3438
Single Precision Score
3341
Half Precision Score
1136
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | sdfwbnee |
| Upload Date | November 05 2025 10:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 580 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Micro-Star International Co., Ltd. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2622
487.5 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
181
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
286
4.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
17972
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18836
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3183
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (Q)
|
92% |
222
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
9808
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
9990
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
10964
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10241
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9088
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32745
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31913
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
45817
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6448
238.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.8 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.5 IPS |
|
|
Text Classification (Q)
|
93% |
384
515.6 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.90 IPS |
