iMac (27-inch Retina Early 2019)
Geekbench AI Score
3108
Single Precision Score
3057
Half Precision Score
1019
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Lingyis |
| Upload Date | November 24 2025 03:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2679
498.2 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.3 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
256
4.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
17595
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17659
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2662
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (Q)
|
92% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
7986
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
268
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
10466
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10862
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10192
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31870
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32050
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43267
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6298
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6163
227.6 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.8 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.3 IPS |
|
|
Text Classification (Q)
|
93% |
369
495.9 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (Q)
|
98% |
301
5.21 IPS |
