Mac15,13
Geekbench AI Score
6611
Single Precision Score
7435
Half Precision Score
6769
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 12:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4188
778.8 IPS |
|
|
Image Classification (HP)
|
100% |
4453
828.1 IPS |
|
|
Image Classification (Q)
|
99% |
3937
734.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4458
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
97.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5895
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25163
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26868
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24837
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
4334
343.8 IPS |
|
|
Object Detection (HP)
|
100% |
4677
371.0 IPS |
|
|
Object Detection (Q)
|
92% |
3706
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
11152
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
14299
169.9 IPS |
|
|
Face Detection (Q)
|
100% |
10193
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18764
144.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20712
159.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
20592
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52018
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60645
78.0 IPS |
|
|
Style Transfer (Q)
|
100% |
60169
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10683
394.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11714
432.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9243
342.5 IPS |
|
|
Text Classification (SP)
|
100% |
589
785.9 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (Q)
|
93% |
612
820.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1325
22.9 IPS |
