iMac (27-inch Retina Early 2019)
Geekbench AI Score
1004
Single Precision Score
755
Half Precision Score
517
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | stevefox42 |
| Upload Date | December 19 2024 10:28 PM |
| Views | 3 |
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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.4 IPS |
|
|
Image Classification (Q)
|
96% |
205
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
319
5.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
2911
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
827
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
92% |
240
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1468
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1332
10.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
817
6.39 IPS |
|
|
Style Transfer (SP)
|
100% |
3878
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3544
4.56 IPS |
|
|
Style Transfer (Q)
|
96% |
2735
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.6 IPS |
|
|
Text Classification (HP)
|
100% |
475
633.8 IPS |
|
|
Text Classification (Q)
|
93% |
471
632.7 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
597
10.3 IPS |
