Mac15,12
Geekbench AI Score
4179
Single Precision Score
33133
Half Precision Score
36724
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 10:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1591
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
17489
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
20299
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21222
344.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26002
421.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8647
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121925
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120994
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
18485
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20691
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39005
463.5 IPS |
|
|
Face Detection (Q)
|
100% |
45898
545.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98879
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124606
974.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22572
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
230372
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219746
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47708
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57036
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5075
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8809
151.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9284
160.4 IPS |
