Mac15,12
Geekbench AI Score
2440
Single Precision Score
13735
Half Precision Score
15660
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
7552
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
7853
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6586
106.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12588
204.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8320
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
102951
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104262
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
9863
782.4 IPS |
|
|
Object Detection (Q)
|
93% |
10656
850.3 IPS |
|
|
Face Detection (SP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
12840
152.6 IPS |
|
|
Face Detection (Q)
|
100% |
15969
189.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4330
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58279
449.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71898
562.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12495
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154659
198.8 IPS |
|
|
Style Transfer (Q)
|
96% |
141995
183.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21424
791.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26296
971.0 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.6 IPS |
|
|
Text Classification (HP)
|
100% |
681
909.2 IPS |
|
|
Text Classification (Q)
|
93% |
677
908.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2783
48.1 IPS |
