Mac16,11
Geekbench AI Score
5758
Single Precision Score
37002
Half Precision Score
49414
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17672
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22127
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23202
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32209
522.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18801
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123508
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231931
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
19731
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23888
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44914
533.7 IPS |
|
|
Face Detection (Q)
|
100% |
64097
761.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8813
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110806
853.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181684
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35610
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237077
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303676
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46762
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78320
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16269
280.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16512
285.3 IPS |
