Mac15,12
Geekbench AI Score
6808
Single Precision Score
7933
Half Precision Score
7193
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | October 31 2024 04:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3976
739.4 IPS |
|
|
Image Classification (HP)
|
100% |
4193
779.7 IPS |
|
|
Image Classification (Q)
|
97% |
3598
671.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5214
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5273
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20316
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21450
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20484
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4063
322.3 IPS |
|
|
Object Detection (HP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (Q)
|
91% |
3708
296.3 IPS |
|
|
Face Detection (SP)
|
100% |
10965
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
13149
156.2 IPS |
|
|
Face Detection (Q)
|
100% |
9448
112.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16905
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18703
144.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15818
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44436
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49877
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46937
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9142
337.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9786
361.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7771
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5228
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5197
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
