iMac (27-inch Retina Early 2019)
Geekbench AI Score
1070
Single Precision Score
813
Half Precision Score
548
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | nadun911 |
| Upload Date | January 04 2025 06:17 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 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
96% |
219
40.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
859
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
92% |
252
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
859
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
4208
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3782
4.86 IPS |
|
|
Style Transfer (Q)
|
96% |
2840
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
471
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
524
698.8 IPS |
|
|
Text Classification (HP)
|
100% |
513
685.0 IPS |
|
|
Text Classification (Q)
|
93% |
515
691.5 IPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
656
11.3 IPS |
