Mac15,13
Geekbench AI Score
7188
Single Precision Score
8543
Half Precision Score
7759
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | December 28 2024 06:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4241
788.7 IPS |
|
|
Image Classification (HP)
|
100% |
4555
847.1 IPS |
|
|
Image Classification (Q)
|
97% |
3939
735.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5813
94.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6276
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24481
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26145
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25087
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
4029
319.5 IPS |
|
|
Object Detection (HP)
|
100% |
4792
380.1 IPS |
|
|
Object Detection (Q)
|
91% |
4050
323.6 IPS |
|
|
Face Detection (SP)
|
100% |
11541
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
14275
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
10739
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17673
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19853
153.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17528
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51617
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59958
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
56263
72.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10830
399.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9677
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9315
343.9 IPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4938
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
647
11.2 IPS |
