iMac (27-inch Retina Early 2019)
Geekbench AI Score
2854
Single Precision Score
2908
Half Precision Score
942
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | rbuj |
| Upload Date | April 17 2025 08:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
2484
462.0 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
16096
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17719
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2200
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
2149
170.4 IPS |
|
|
Object Detection (Q)
|
92% |
146
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
7987
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
7202
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
269
3.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
9586
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9820
75.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9278
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29511
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31886
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40161
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5371
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.5 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.5 IPS |
|
|
Text Classification (Q)
|
93% |
319
428.4 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
98% |
275
4.75 IPS |
