Mac15,12
Geekbench AI Score
2418
Single Precision Score
13865
Half Precision Score
14749
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | electus |
| Upload Date | August 15 2024 08:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
7895
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
8637
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6608
107.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6581
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8351
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
102728
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
104052
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
10065
798.3 IPS |
|
|
Object Detection (Q)
|
93% |
10767
859.2 IPS |
|
|
Face Detection (SP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
13256
157.5 IPS |
|
|
Face Detection (Q)
|
100% |
15670
186.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4366
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59115
455.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
63684
492.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12508
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153181
196.9 IPS |
|
|
Style Transfer (Q)
|
100% |
152257
195.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21589
797.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26951
998.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.7 IPS |
|
|
Text Classification (HP)
|
100% |
678
905.5 IPS |
|
|
Text Classification (Q)
|
93% |
676
907.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2765
47.8 IPS |
