Mac15,12
Geekbench AI Score
7451
Single Precision Score
7701
Half Precision Score
2553
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | September 18 2024 11:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4372
813.1 IPS |
|
|
Image Classification (HP)
|
100% |
4637
862.4 IPS |
|
|
Image Classification (Q)
|
97% |
3445
643.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6003
97.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6179
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25202
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26928
31.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
24960
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
4386
347.9 IPS |
|
|
Object Detection (HP)
|
100% |
4742
376.1 IPS |
|
|
Object Detection (Q)
|
92% |
3760
300.2 IPS |
|
|
Face Detection (SP)
|
100% |
11520
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
14527
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
10296
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18972
146.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20996
161.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52574
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60943
78.3 IPS |
|
|
Style Transfer (Q)
|
96% |
57007
73.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10960
404.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12085
446.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9574
353.5 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.5 IPS |
|
|
Text Classification (Q)
|
93% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1332
23.0 IPS |
