iMac (27-inch Retina Early 2019)
Geekbench AI Score
3049
Single Precision Score
3032
Half Precision Score
411
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 05 2026 11:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 14.8.1 (Build 23J30) |
| 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 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2696
501.3 IPS |
|
|
Image Classification (HP)
|
100% |
2875
534.6 IPS |
|
|
Image Classification (Q)
|
96% |
151
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
253
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
17284
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17979
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2750
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (Q)
|
92% |
139
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
7347
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
10790
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10587
81.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31234
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32804
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
41813
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6240
230.4 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.0 IPS |
|
|
Text Classification (Q)
|
93% |
435
583.5 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (Q)
|
98% |
306
5.28 IPS |
