iMac20,2
Geekbench AI Score
4957
Single Precision Score
4547
Half Precision Score
1254
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | jchan |
| Upload Date | March 14 2025 07:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5700 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Apple Inc. Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10910 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (HP)
|
100% |
3468
645.0 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
297
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
27423
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
27851
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3683
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
3605
286.0 IPS |
|
|
Object Detection (HP)
|
100% |
3582
284.1 IPS |
|
|
Object Detection (Q)
|
92% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
12853
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
12297
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
272
3.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
16400
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16517
127.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15618
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55542
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55373
71.2 IPS |
|
|
Style Transfer (Q)
|
96% |
73432
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7572
279.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10953
404.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9578
353.7 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.3 IPS |
|
|
Text Classification (Q)
|
93% |
238
318.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
631
10.9 IPS |
