iMac (27-inch Retina Early 2019)
Geekbench AI Score
3037
Single Precision Score
3032
Half Precision Score
1025
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | nadun911 |
| Upload Date | January 04 2025 06:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| 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% |
2713
504.5 IPS |
|
|
Image Classification (HP)
|
100% |
2812
523.0 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
17379
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16927
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2533
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (Q)
|
92% |
163
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
8063
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
283
3.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
10312
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10561
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9943
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31294
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31921
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
42932
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5760
212.7 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.8 IPS |
|
|
Text Classification (HP)
|
100% |
395
526.6 IPS |
|
|
Text Classification (Q)
|
93% |
380
509.9 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
98% |
318
5.49 IPS |
