iMac (27-inch Retina Mid 2020)
Geekbench AI Score
4338
Single Precision Score
4414
Half Precision Score
1317
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | netdevil |
| Upload Date | December 09 2024 12:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3341
621.2 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
96% |
164
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
271
4.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
20894
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19815
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3116
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
3200
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (Q)
|
92% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
9987
118.7 IPS |
|
|
Face Detection (HP)
|
100% |
10406
123.6 IPS |
|
|
Face Detection (Q)
|
100% |
288
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
14386
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14858
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13796
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38892
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38867
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
52656
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8534
315.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7908
292.0 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.4 IPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
663
889.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
609
10.5 IPS |
