iMac (24-inch Mid 2021)
Geekbench ML Score
3002
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | juppy |
| Upload Date | July 27 2024 07:11 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1286
240.6 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.3 IPS |
|
|
Image Classification (I8)
|
99% |
1671
312.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
595
9.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (I8)
|
100% |
605
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5550
6.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
12998
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12997
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1313
98.0 IPS |
|
|
Object Detection (F16)
|
100% |
1755
131.1 IPS |
|
|
Object Detection (I8)
|
97% |
1319
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
3986
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3983
47.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5188
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8148
63.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8157
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15288
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24277
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24277
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3489
124.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4590
163.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4631
165.4 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3383
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3347
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
731
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
729
13.4 IPS |
