iMac (24-inch Mid 2021)
Geekbench AI Score
2829
Single Precision Score
4267
Half Precision Score
3508
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Nicola |
| Upload Date | August 16 2024 06:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,1 |
| Motherboard | iMac21,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (Q)
|
99% |
1684
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1181
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13484
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11480
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
1948
155.1 IPS |
|
|
Object Detection (Q)
|
94% |
1514
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2572
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5168
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8137
62.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3680
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15734
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24733
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24885
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3361
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3388
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2963
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2756
47.6 IPS |
