iMac (27-inch Retina Early 2019)
Geekbench AI Score
2978
Single Precision Score
3050
Half Precision Score
951
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | September 19 2024 11:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
210
3.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
17365
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17942
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2263
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (Q)
|
92% |
140
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
6935
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
8671
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
238
2.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
10097
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10533
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9026
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31545
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32763
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
41435
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5572
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4266
157.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5515
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
315
421.0 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
93% |
439
589.7 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
98% |
320
5.54 IPS |
