Mac16,11
Geekbench AI Score
15377
Single Precision Score
15995
Half Precision Score
14008
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7476
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8044
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6932
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12183
197.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12987
210.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13483
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56712
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59140
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56092
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
7187
570.1 IPS |
|
|
Object Detection (HP)
|
100% |
7624
604.7 IPS |
|
|
Object Detection (Q)
|
91% |
6394
510.9 IPS |
|
|
Face Detection (SP)
|
100% |
25666
305.0 IPS |
|
|
Face Detection (HP)
|
100% |
29283
347.9 IPS |
|
|
Face Detection (Q)
|
100% |
18456
219.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33208
255.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35802
275.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
28966
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
123708
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
134159
172.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127246
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22843
843.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23852
880.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19602
723.8 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5334
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1221
21.1 IPS |
