iMac (27-inch Retina Early 2019)
Geekbench AI Score
3264
Single Precision Score
3435
Half Precision Score
1482
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | August 20 2024 04:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2582
480.1 IPS |
|
|
Image Classification (HP)
|
100% |
2671
496.7 IPS |
|
|
Image Classification (Q)
|
99% |
2714
506.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
100% |
439
7.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
17543
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18993
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2671
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2516
199.5 IPS |
|
|
Object Detection (Q)
|
92% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
8087
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
8885
105.6 IPS |
|
|
Face Detection (Q)
|
100% |
272
3.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
10439
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10909
84.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10905
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32153
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35548
45.7 IPS |
|
|
Style Transfer (Q)
|
100% |
35155
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6703
247.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6239
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
429
573.3 IPS |
|
|
Text Classification (HP)
|
100% |
471
629.0 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.7 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
98% |
371
6.41 IPS |
