Mac15,12
Geekbench ML Score
5608
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 05:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.04 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3409
637.9 IPS |
|
|
Image Classification (F16)
|
100% |
3627
678.7 IPS |
|
|
Image Classification (I8)
|
99% |
3618
677.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1074
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1337
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
17915
21.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
19068
23.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18844
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
3040
226.9 IPS |
|
|
Object Detection (F16)
|
100% |
3188
238.0 IPS |
|
|
Object Detection (I8)
|
97% |
2370
177.0 IPS |
|
|
Face Detection (F32)
|
100% |
9179
109.1 IPS |
|
|
Face Detection (F16)
|
98% |
10657
126.7 IPS |
|
|
Face Detection (I8)
|
97% |
10383
123.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15645
121.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17479
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
16796
130.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40353
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
45196
59.5 IPS |
|
|
Style Transfer (I8)
|
100% |
45104
59.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5660
202.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7500
267.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5914
211.2 IPS |
|
|
Text Classification (F32)
|
100% |
2579
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4600
6.61 KIPS |
|
|
Text Classification (I8)
|
96% |
4630
6.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
838
15.4 IPS |
|
|
Machine Translation (I8)
|
99% |
654
12.0 IPS |
