Mac15,12
Geekbench AI Score
6830
Single Precision Score
7973
Half Precision Score
7034
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | September 29 2024 07:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3935
731.8 IPS |
|
|
Image Classification (HP)
|
100% |
4195
780.2 IPS |
|
|
Image Classification (Q)
|
97% |
3135
585.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5243
85.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5228
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20348
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21436
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20149
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
4035
320.1 IPS |
|
|
Object Detection (HP)
|
100% |
4393
348.5 IPS |
|
|
Object Detection (Q)
|
91% |
3450
275.7 IPS |
|
|
Face Detection (SP)
|
100% |
10974
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
13138
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
9315
110.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16981
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18719
144.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
14733
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44653
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49699
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
46607
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9146
337.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9781
361.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7546
278.6 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5178
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
