iMac (27-inch Retina Early 2019)
Geekbench AI Score
3131
Single Precision Score
3065
Half Precision Score
1019
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | 2muchpower |
| Upload Date | November 30 2025 10:28 PM |
| Views | 2 |
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 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2631
489.3 IPS |
|
|
Image Classification (HP)
|
100% |
2757
512.7 IPS |
|
|
Image Classification (Q)
|
96% |
148
27.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
251
4.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
17438
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16995
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2685
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
7725
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
7595
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
10251
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10779
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10069
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32482
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31703
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
45680
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6272
231.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6318
233.3 IPS |
|
|
Text Classification (SP)
|
100% |
315
421.0 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.9 IPS |
|
|
Text Classification (Q)
|
93% |
365
489.8 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.32 IPS |
