Mac16,11
Geekbench AI Score
5772
Single Precision Score
36455
Half Precision Score
51578
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | December 17 2024 07:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
18606
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
23645
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23235
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32916
533.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18973
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123385
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231412
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
19912
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23756
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
41368
491.5 IPS |
|
|
Face Detection (Q)
|
100% |
64519
766.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111798
861.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177368
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35494
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237529
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302114
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47824
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78322
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7132
9.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5756
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16104
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16127
278.7 IPS |
