iMac (24-inch Mid 2021)
Geekbench AI Score
2832
Single Precision Score
4292
Half Precision Score
3573
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | OrchardChurch |
| Upload Date | August 15 2024 08:44 PM |
| Views | 2 |
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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
99% |
1663
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1172
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13523
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11567
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
1946
154.9 IPS |
|
|
Object Detection (Q)
|
94% |
1524
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2642
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8216
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4078
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15606
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24731
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24676
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4532
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3352
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3049
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3059
52.9 IPS |
