iMac (27-inch Retina Early 2019)
Geekbench AI Score
3175
Single Precision Score
3355
Half Precision Score
436
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | September 07 2024 08:01 AM |
| Views | 2 |
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% |
2676
497.7 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.3 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
256
4.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
17443
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18968
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2915
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (Q)
|
92% |
166
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
8237
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
8564
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
270
3.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
10075
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10510
81.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31743
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35241
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
51165
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6333
233.9 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.0 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.7 IPS |
|
|
Text Classification (Q)
|
93% |
424
568.6 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
98% |
357
6.17 IPS |
