iMac20,1
Geekbench AI Score
1113
Single Precision Score
832
Half Precision Score
554
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | ks5z |
| Upload Date | March 20 2026 03:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | iMac20,1 |
| Model ID | iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
96% |
197
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
317
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
938
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
92% |
265
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
808
6.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3753
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3834
4.93 IPS |
|
|
Style Transfer (Q)
|
96% |
2933
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.4 IPS |
|
|
Text Classification (HP)
|
100% |
545
727.0 IPS |
|
|
Text Classification (Q)
|
93% |
543
728.5 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
