iMac (27-inch Retina Early 2019)
Geekbench AI Score
1063
Single Precision Score
805
Half Precision Score
545
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | piotrowy |
| Upload Date | January 25 2025 09:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
96% |
214
40.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
338
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
3245
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
859
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.5 IPS |
|
|
Object Detection (Q)
|
92% |
251
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1618
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1387
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
858
6.71 IPS |
|
|
Style Transfer (SP)
|
100% |
4262
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3773
4.85 IPS |
|
|
Style Transfer (Q)
|
96% |
2867
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.9 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.3 IPS |
|
|
Text Classification (Q)
|
93% |
510
684.5 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
647
11.2 IPS |
